75 Postdoctoral Fellowship at Harvard University, USA
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Harvard University, USA invites online Application for various Postdoctoral Fellowship in their different Departments. We are providing a list of Postdoc Fellowship positions available at Harvard University, USA.
Eligible candidate may Apply as soon as possible.
(01) Postdoctoral Fellowship Position
Postdoc Fellowship Position summary/title: Postdoctoral Fellowship
The Department if Genetics and Complex Disease(GCD) at the Harvard School of Public Health (HSPH) seeks candidate for the position of Postdoctoral Fellowship. The Farese and Walther Laboratory studies the biochemistry of cellular lipid metabolism and homeostasis. We are particularly interested in neutral lipid synthesis and Lipid Droplet biogenesis.
Postdoctoral positions, including a named fellowship, are available at the Harvard T.H. Chan School of Public Health. Our faculty includes Drs. Joseph D. Brain (toxicology, fate and biologic effects of nanoparticles and metals, ARDS), James P. Butler (physics, applied mathematics, sleep, respiratory mechanics), Philip Demokritou (effects of nanoparticles on biological systems, nanoscience, aerosol engineering), Jeffrey Fredberg (bioengineering, cell migration in asthma and cancer), Bernardo Lemos (epigenetics, genomics, aging, nucleolus), Quan Lu (asthma, pyroptosis, GPCR signaling, extracellular vesicles), Zachary Nagel (lung cancer therapy and prevention, DNA repair, population studies), Jin-Ah Park (collective cell migration, mechanotransduction, asthma, airway epithelial biology), Kristopher Sarosiek (cell death, cancer, toxicology, environmental exposures), Zhi-Min Yuan (genetic engineered mouse models, p53, lung fibrosis). Together, we investigate mechanisms of disease that arise from environmental exposures.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Machine Learning and Design of Biological Systems
A postdoctoral position is currently available in the laboratory of Dr. Mor Nitzan at Harvard University’s Faculty of Arts and Sciences to study spatial and temporal aspects of interaction patterns in biological systems. We are looking for exceptional candidates with background in machine learning and/or computational biology. Research will focus on both top-down and bottom-up mapping of local interactions between relatively simple dynamic entities and their emergent complex behavior. We study these questions in various theoretical and biological settings, such as cellular interactions in tissues using single cell sequencing data. The initial appointment period is funded for one year.
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellow
Harvard T.H. Chan School of Public Health (HSPH) invites applications for a postdoctoral research fellow who will work on statistical methods development for multivariate spatial data and high-dimensional multivariate microbiome sequencing data. Under the joint supervision of Drs. Kyu Ha Lee (Nutrition, HSPH), Jacqueline Starr (Forsyth Institute), and Brent Coull (Biostatistics, HSPH). The initial appointment is for one year, with a possible extension for a second year. The position is available immediately, with negotiable start date.
Postdoc Fellowship Position summary/title: Postdoctoral Scholar in Machine Learning and Computational Imaging
Harvard is seeking applicants for a postdoctoral position in Machine Learning and Computational Microscopy. This is a one-year appointment, with the expectation that it will be extended up to two years after review. A postdoctoral position is currently available at the Center for Advanced Imaging at Harvard with Dr. Dushan Wadduwage to develop novel computational imaging technologies for microscopy. We seek life and physical scientists with a background in machine learning, computational imaging, or both. Research will focus on designing and developing novel computational imaging methods based on physics-driven machine learning. Candidates will model optical systems in machine learning frameworks to design imaging instruments for real-world biological applications.
Postdoc Fellowship Position summary/title: Postdoctoral Position in Biophysics
Physics Department at Harvard University invites applications for a postdoctoral position in the field of biophysics, biochemistry and biology. The successful applicant will work in Prof. Mara Prentiss’ group at Harvard University in Cambridge, MA, performing experimental studies of RecA family protein mediated homologous recombination in collaboration with groups in the Biology Department at Northeastern University and the IBPC in Paris. The collaboration uses a multi-disciplinary approach to understand how double strand breaks are repaired, and how that repair process provides insight into self-assembling systems. The postdoctoral scholar will carry out research related to DNA protein interactions monitored using bulk and single molecule techniques. The appointment duration is up to three years, with reappointment contingent upon funding and research collaboration.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Clinical Biomechanics and Wearable Robotics
The Harvard Biodesign Lab invites applications for an immediate opening on a research project focused on biomechanical, physiological, and clinical evaluations of wearable robotic devices developed to assist individuals with neurological disorders (e.g., stroke, multiple sclerosis, Parkinson’s disease, and cerebral palsy). These soft wearable robots are lightweight and pliable and apply appropriately timed joint torques to the wearer. The successful candidate will work as part of a larger team of engineers, apparel designers, movement scientists, and clinicians to conduct human subjects studies that will be used to advance the development of multiple wearable robot platforms and evaluate their ability to enhance neurorehabilitation. They will have access to state of the art equipment (Qualysis cameras, Bertec force plates in an over-ground walkway, a Bertec instrumented treadmill, Delsys Trigno surface electromyography system, and Cosmed K4b2 metabolic test system). The candidate will also be expected to contribute to the writing and running of IRB-approved studies on healthy and patient populations.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Applied Physics
Donhee Ham group (https://www.donheehamlab.org) at Harvard University has openings for several post-doctor positions for high-throughput DNA memory synthesis on CMOS microelectrode arrays. This is an I-ARPA funded project in collaboration with Broad Institute (https://www.broadinstitute.org), Cambridge, MA and DNA Script (https://dnascript.com), Paris, France. Contact Prof. Donhee Ham ([email protected]) for questions.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Applied Physics
Prof. Donhee Ham’s group (https://www.donheehamlab.org) at Harvard University has openings for several post-doctor positions for our ARPA-E funded project on CMOS and GaN-based spin resonance technology for applications in subsurface exploration, chemical sensing, biological sensing, and magnetic resonance imaging. For questions, please contact Dr. Yi-Qiao Song ([email protected]) and Prof. Donhee Ham ([email protected]).
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellow in Medical Instrumentation
Harvard University’s Assistive Technology Initiative has an immediate opening for an entrepreneurial research fellow to coordinate and lead a project at the intersection of wearable sensing, controls, neurophysiology, movement science, and clinical rehabilitation. The position will involve work underway at the Harvard Biodesign Lab (https://biodesign.seas.harvard.edu), Harvard Biorobotics Lab (http://biorobotics.harvard.edu/), and major Boston-area hospitals with a focus on human sensation quantification (electrical stimulation, haptics) used to assess recovery from neurological impairments and disease progression. The research fellow will work as part of a highly multidisciplinary team with backgrounds in engineering, biomechanics, rehabilitation science, neurology, and clinical practice. The successful candidate will contribute to the development of new technology, evaluate the technology with human participants in state-of-the-art biomechanics facilities, and play a key role in setting the vision for commercial application.
Postdoc Fellowship Position summary/title: Postdoc in Analysis of Novel Quantum Materials with Electron Microscopy Techniques
We seek a postdoctoral fellow position in our group as part of the Harvard Quantum Initiative (HQI) and the Center for Integrated Quantum Materials (CIQM) in the area of Transmission and Scanning Transmission Electron Microscopy (S/TEM) of novel quantum materials. We seek to visualize and understand quantum phases of matter at the atomic scale sensing using TEM/STEM coupled to analytical methods Electron Holography, EDS and EELS as well as possible in situ manipulation. We aim to correlate atomic-scale insights with macroscopic properties and also induce novel phenomena in quantum materials. We plan to investigate a variety of material platforms, from layered 2D heterostructures to bulk crystals to atomically engineered oxides and more
Postdoc Fellowship Position summary/title: Postdoctoral Fellow
The Strominger Lab seeks a scientist with 0-5 years of postdoctoral experience to participate in an ongoing research program focused on the regulation of expression of the Class 1 MHC proteins HLA-C, HLA-E, and HLA-G, in the maternal-fetal interface and their role in tolerance and infections. We are particularly interested in pregnancy complications (e.g., preterm birth and preeclampsia) which may result from dysregulation of their expression at the decidua during pregnancy, as well as in transplantation tolerance and infection (e.g., CMV). This position offers full funding for a two-year period for work within the scope of recent publications from the laboratory as defined by the attached materials, see: additional qualifications. Salary is in the range of 55-90K per year depending on experience and record, plus full Harvard benefits.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems)
Deep learning plays an essential role in the operation of an autonomous vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and other advanced driver assistance systems (ADAS) sensors. These sensors generate a vast amount of data concurrently, which need real-time processing (latency-bound throughput) for vehicle safety. A crucial challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators), integrate it with the sensors in AV, and demonstrate its capability to perform perception, mapping, and planning while overcoming the power and performance limitations of CMOS-only computers. As our end goal, we plan to demonstrate a fully autonomous buggy that uses our EPiC system.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Applied Mathematics
The Soft Math Lab (https://softmath.seas.harvard.edu/) is looking for a postdoctoral fellow to start in the summer/fall of 2022 with interests and expertise in the areas of (i) the physics of morphogenesis, (ii) collective behavior of organisms across scales and (iii) soft matter physics, who has familiarity with data analysis geometric signal processing and computational science, along with a deep commitment to working with, and alongside, experimentalists.
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellow – Walsh Lab
The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks a talented, creative, and enthusiastic individual to build life-changing technologies for rehabilitation and human performance enhancement. The Postdoctoral Researcher will coordinate and lead a research project at the intersection of wearable sensing, controls, neurophysiology, movement science, and clinical rehabilitation. They will contribute to technical deliverables and help to plan for technology translation.
Postdoc Fellowship Position summary/title: Postdoctoral Research Position in Computational Biology
The Haber Lab in the Department of Environmental Health at Harvard University has openings for highly motivated postdocs to develop and apply novel computational approaches for next generation sequencing data analysis, particularly single-cell RNA sequencing, spatial transcriptomics, and related approaches. Our research group uses single-cell genomics to study immunity at mucosal sites, with a focus on the lungs and particularly mechanisms of asthma. Past work has focused on discovering new cell types in the lungs (Nature, 2018), single-cell genomics of the small intestine (Nature, 2017), and using single-cell methods to describe how the mucosal immune system regulates epithelial stem cells (Cell, 2018). The successful candidate(s) will join an interdisciplinary team spanning several institutions, including the Harvard T.H. Chan School of Public Health, Brigham & Women’s Hospital, and the Broad Institute of MIT and Harvard. Projects in the lab aim to discover new aspects of lung physiology in health and disease using computational and systems biology approaches to analysis of single-cell RNA-sequencing data. These datasets derive from samples of human lungs, and also from mouse models of airway injury, inflammation and regeneration, and aim in particular to examine the impact of environmental exposures – such as air pollution, and allergens – on the lungs’ airways. The successful candidate will collaborate closely with clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms to examine cellular communication between the lungs and the local immune system, define pathways that are aberrant in disease, and discover new possible therapies. Fellows will be encouraged to take advantage of the rich and varied training and career development opportunities offered at HSPH.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Biomedical Control
The aims of this Army-funded study are identifying, validating and characterizing blood-based diagnostic biomarkers for post-traumatic stress disorder (PTSD). Harvard is part of a collaborative consortium of researchers that includes NYU, UCSF, Mt. Sinai School of Medicine, the Institute for Systems Biology, and the Army Center for Environmental Health Research. At Harvard, the team continues to work on (i) optimizing the panel of heterogeneous (multi-omics) markers for diagnosing PTSD, (ii) identifying dysregulated subnetworks that are related to glucocorticoid receptor regulation and Fc epsilon R1 signaling in PTSD based on changes in DNA methylation patterns, (iii) constructing, validating and characterizing polygenic risk profiles for PTSD, and (iv) identifying mechanisms underlying metabolic dysfunction in PTSD with a network based mathematical modeling using correlational and causal analysis. In the next phase of the project, in addition to refinement and further validation of these results on larger independent cohorts, we aim to characterize their properties by investigating the impact of comorbidity, demographic factors, and symptom severity range on biomarker performance. We also plan to enhance and refine (for example, by focusing on subsets of features or updating parameters) the panels as necessary with the ultimate goal of building a robust PTSD diagnostic biomarker panel.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Material Science & Mechanical Engineering
Four postdoctoral positions in the Materials Intelligence Research group of Prof. Boris Kozinsky at Harvard University are open to develop and apply first principles and machine learning methods for computational materials physics and chemistry. Applications include investigation and design of catalysts, soft materials, energy conversion and storage materials, power electronics and thermoelectrics. The desired technical qualifications are experience with DFT or quantum chemistry calculations, method development and implementation of high-performance scientific software, with GPU capability, machine learning methods and automated computing workflows. Education requirement: PhD in Physics, Chemistry, Materials Science or related fields. Projects include:
1. Machine learning methods for large scale molecular dynamics. We are developing equivariant neural network models NequIP and Allegro for interatomic potentials, that advance the state of the art in accuracy and data efficiency. Efforts are aimed at learning computationally lean and geometrically rich representations and designing methods for quantifying uncertainty of predictions. We are also developing Bayesian Force Fields in the FLARE framework that combines rigorous uncertainty in Gaussian process regression with active learning. Resulting models are implemented in LAMMPS and are used to perform reactive dynamics simulations of billions of atoms.
2. Electrical and thermal transport from first principles. We are developing methods for predicting electrical, thermal, and magneto-transport coefficients in semiconductors within the Boltzmann transport and Wigner transport formalism. Applications include thermoelectric materials and 2D systems. We implement these methods in the Phoebe software framework which relies on Wannier/Fourier interpolation of first-principles carrier spectra and couplings.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow
The Whipple lab investigates the causes and consequences of genomic imprinting in the brain using mouse models and in vitro neuron differentiation systems. There are open opportunities to work in project areas related to (i) mechanisms controlling imprinted gene expression, (ii) neuronal functions of imprinted non-coding RNAs, and (iii) new therapeutic opportunities for imprinted disorders. The postdoctoral candidate will work with the lab to develop a specific project that falls within these interests. Our work balances hypothesis-driven research using established methods with exploratory research using new high-throughput methods. This enables us to test data driven models while remaining open to unexpected, paradigm-shifting discoveries.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Materials Science
The Li Group is looking for a postdoctoral research fellow for projects on battery materials/devices or strongly correlated materials. Recent Ph.D. and postdocs with a background in materials science, physics, applied physics, chemistry, or a related field are encouraged to apply. The successful candidate will have expertise in some of the following areas:
Design, synthesis, and testing of electrochemical energy storage materials
Advanced characterizations of energy-related materials
Design of battery devices
DFT simulations
Theoretical and simulation approaches for strongly correlated materials
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Theoretical Neuroscience and/or Theory of Neural Computation
A postdoctoral position is available in Cengiz Pehlevan’s group at Harvard University. We are looking for candidates with strong analytical and numerical skills, and backgrounds in (theoretical) neuroscience, applied mathematics, physics, engineering, computer science, or related fields. Our research areas are in theoretical neuroscience and the theory of neural computation in natural and artificial systems. The successful candidate will have the opportunity to join our ongoing projects and/or pursue new directions. For recent publications, see pehlevan.seas.harvard.edu. For questions, please send an e-mail to [email protected]. The position is funded for multiple years, with an initial one-year appointment and expectation of extension contingent on satisfactory progress. Review of applications will begin immediately. Ideal start date is around September 2023, but is flexible.
Postdoc Fellowship Position summary/title: 2023-24 REISCHAUER INSTITUTE POSTDOCTORAL FELLOWSHIPS IN JAPANESE STUDIES
The Edwin O. Reischauer Institute of Japanese Studies (RIJS) at Harvard University will offer several Postdoctoral Fellowships in Japanese Studies to recent PhD graduates of exceptional promise, to provide the opportunity for postdoctoral fellows to turn their dissertations into publishable manuscripts.
Postdoc Fellowship Position summary/title: Postdoctoral Fellowship in Applied Physics
The Loncar Group is looking for a postdoctoral fellow with expertise in nanofabrication, integrated optics, nonlinear optics, and microwave photonics. The candidate will focus on design, fabrication, and characterization of chip-scale photonic devices and systems, and their application in microwave photonics.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Organ Engineering with the Lewis Lab
The Lewis Lab is seeking a postdoctoral fellow with expertise in one or more of the following areas: stem cell biology, organoid differentiation, bioprinting, or tissue engineering. The successful candidate will join a multidisciplinary team of researchers supported under three new awards from NIH, DoD, and Wellcome Leap. The goals of these projects are to develop vascularized cerebral, cardiac, and renal organoids and to use the building blocks to fabricate functional organ-specific tissues at scale.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Materials Science
The Lewis Lab is seeking a postdoctoral fellow with expertise in one or more of the following areas: nanoparticle synthesis, colloidal science, rheology, or granular media. The successful candidate will join a multidisciplinary team of researchers supported under a new AROMURI award. The goal of this project is to develop a fundamental understanding of the transient yielding and printing behavior of highly heterogeneous particle systems.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow – Human Rights and Transitional Justice
The Harvard Humanitarian Initiative (HHI) is a university-wide academic and research center in humanitarian crisis and leadership. HHI is based at the Harvard T.H. Chan School of Public Health Department of Global Health and Population and is affiliated with the Department of Emergency Medicine at Brigham and Women’s Hospital (BWH). As an Inter-Faculty Initiative, HHI collaborates closely with all Harvard Schools and Harvard Teaching Hospitals and is the primary humanitarian outreach arm of Harvard University. The mission of the Harvard Humanitarian Initiative is to create new knowledge and advance evidence-based leadership in disasters and humanitarian crisis. HHI was founded in 2005, currently operates 20 projects and consists of over 65 staff, faculty, affiliated experts, students, fellows, and collaborators. HHI’s aim is to promote interdisciplinary dialogue in pressing humanitarian issues, advance the science and practice of humanitarian response worldwide, and improve the lives of communities in war, conflict, and natural disasters.
Postdoc Fellowship Position summary/title: Embedded EthiCS Postdoctoral Fellowship in Philosophy
We seek applicants who are enthusiastic about working with computer scientists to develop ethics modules for their courses. They need not have computer science experience themselves. They must demonstrate competence to teach ethics, but ethics need not be their area of specialization. Successful candidates will have significant teaching experience, some including experience with cross-disciplinary research or teaching, and enthusiasm about developing ethics pedagogy.
Postdoc Fellowship Position summary/title: Postdoctoral Fellowship in Theory for Society
The Theory for Society Project invites applications for postdoctoral fellowships to advance a multidisciplinary understanding of and response to fairness issues in online hiring platforms and other systems that rely on user-provided natural language input. A key aspect of concern is that members of different groups may use different language to describe the same work-relevant experiences and work-related requirements. The duration of the postdoc is one year with the possibility of renewal. Postdoctoral fellows will receive a generous salary as well as an allocation for research and travel expenses. Relevant areas of expertise include: algorithms and complexity, natural language processing, and knowledge of the algorithmic fairness literature.
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellow in Maternal, Newborn, and Child Health Epidemiology
The Postdoctoral Research Fellow will have opportunities to work on large-scale datasets, including cohort and surveillance data from low- and middle-income countries. The successful candidate will develop and extend skills in statistical analysis, create analytical frameworks, develop protocols, monitor data quality, and collaborate on manuscripts and grant proposals. The fellow will focus on answering questions related to pregnancy and child health outcomes and causes of morbidity and mortality. Research may include developing risk stratification models, causal inference methods, and analyzing large datasets. There is opportunity for training and mentoring students at Harvard and trainees at partner institutions in Ethiopia.
Postdoc Fellowship Position summary/title: Postdoctoral Fellowships at the Intersection of Systems and Theory
We are looking for junior scientists who are especially interested in working at the intersection of systems and algorithmic theory, in areas such as programmable network architectures, data center network management, cloud computing, machine learning, and algorithms for the Internet. Example topics of interest include but are not limited to the design and analysis of sketches and filters for use in real systems, network telemetry, network security, network compression methods, and optimizing network performance for machine learning applications. The ideal candidate will be interested in both building real systems and either developing algorithms and data structures or using existing, underutilized results from the theoretical literature in system design.
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellow Positions in (i) Network Science and (ii) Biomedical Smartphone Research
The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, statistical physics, computer science, or a related quantitative field for two-year Postdoctoral Research Fellow positions. These positions involve developing statistical methods, data analytic tools, and mathematical models for analyzing two different types of systems. In the first area, statistical network science, we develop methods that are at the intersection of statistical learning and network science with applications in social and biological networks. In the second area, smartphone-based digital phenotyping, we develop tools and methods for analyzing data collected by our smartphone platform. Our ongoing applied studies in this area involve diverse patient populations from neurology to psychiatry and oncology. The candidates can focus on one of these areas only or may work across both, depending on interests and expertise.
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics
A Postdoctoral Research Fellow or Research Associate position in biostatistics and biomedical informatics is available at Harvard T.H. Chan School of Public Health. The positions involve developing and applying statistical and computational methods for analysis of electronic health records (EHR) data including narrative data extracted via natural language processing, codified phenotype data as well as large scale genomic measurements. We seek an individual with strong statistical and computing backgrounds and who has expertise in statistical and machine learning methods for big data. The work will involve development and application of statistical and informatics methods and algorithm for analyzing EHR data.
Postdoc Fellowship Position summary/title: Onnela Lab Postdoctoral Research Fellow Position Digital Phenotyping / Smartphone Data Research
The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models for analyzing smartphone data–collected with our high-throughput digital phenotyping platform–in biomedical research cohorts with the goal of establishing more precise and dynamic disease phenotypes. Specifically, this postdoc position will focus on developing statistical methods for the recognition and quantification of human activity data using primarily accelerometer data from smartphones and wearables.
Postdoc Fellowship Position summary/title: Onnela Lab Postdoctoral Research Fellow Position Network Science
The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, statistical physics, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position, which is in the field of network science, involves developing new network community detection methods for administrative health data. Some of the goals of the project involve leveraging nodal covariates (attributes) as part of the community detection procedure and extending the applicability of these methods to longitudinal data. Understanding uncertainty in the detected community structure is also of interest in this project.
Postdoc Fellowship Position summary/title: Research Associate/Research Scientist
The successful candidate will work with Drs. Curtis Huttenhower and Wendy Garrett on overall scientific coordination for the Harvard Chan Microbiome in Public Health Center (http://hcmph.sph.harvard.edu). This individual will be responsible for high-level scientific planning, reporting, outreach, and mentoring for the project, working with both computational and experimental scientists in multiple labs that are part of the Center. There will be ample opportunities to plan new projects; prepare presentations, proposals, and manuscripts with the Center and affiliated PIs, students, and postdoctoral fellows; funding reporting; and coordinate with the broader HCMPH community.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow with the Trustworthy AI Lab – Digital, Data, and Design Institute, Harvard University
The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for multiple postdoctoral fellows to work on research activities at our research labs. D^3 launched in the summer of 2022 with 12 labs working on research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu. The postdoctoral fellows will work under the direct supervision of faculty Principal Investigators and the Senior Associate Director, Lab Operations. They will work closely with the lab manager and research associate(s) at each lab. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions. The Trustworthy AI Lab, led by HBS Professors Hima Lakkaraju, Marco Iansiti, and Seth Neel and Harvard SEAS Professor Salil Vadhan, is seeking a Postdoctoral Fellow. The lab focuses on developing algorithms that allow data science practitioners to trade-off ethical considerations like privacy, interpretability, and bias with accuracy, and to mitigate the risks of overfitting. Recent works on fairness have included new definitions of statistical fairness that account for a more complex protected group structure or a more flexible notion of similarity, new algorithms for efficiently deleting user data from neural networks, the SOTA bounds for adaptive data analysis, and new techniques for differentially private optimization. Ensuring privacy and fairness in large-scale genomic analyses is a new research interest.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in the Study of Historical Psychology in Latin Texts
We seek a postdoctoral fellow with research experience in computational approaches to language and literature to work on a cross-institutional project on the study of historical psychology in Latin texts. This is a one-year full-time position beginning in Spring 2023 and potentially renewable for one additional year. Besides regular meetings with the project PI, Joe Henrich (Harvard University; Culture, Cognition, and Coevolution Lab), and co-PI, Jonathan Schulz (George Mason University), the position will entail close collaboration with the Quantitative Criticism Lab, co-directed by Joseph Dexter (Harvard University) and Pramit Chaudhuri (University of Texas at Austin). The aim of the project is to develop computational methods for the study of diachronic changes in psychology based on current research in the social sciences and recent advances in computational text analysis for Latin and other pre-modern languages. The work forms part of a larger multi-institutional project, funded by the Templeton Foundation, entitled “Religion, Family Structure and the Origins of Individual Freedom and Economic Prosperity.”
Postdoc Fellowship Position summary/title: Postdoctoral Research Position in Biostatistics and Data Science
The Department of Biostatistics at Harvard TH Chan School of Public Health invites applications for a postdoctoral research fellow position focused on developing innovative statistical and machine-learning methods for analyzing and integrating various types of complex biomedical data (e.g., electronic health record data, claims data, biobanks). Areas of particular interest include (but not limited to): (1) genetic risk prediction for underrepresented populations; (2) distributed causal inference in clinical research networks; (3) statistical methods for high-dimensional data. The postdoctoral fellow will be supervised by Dr. Rui Duan at Harvard and will work closely with collaborators across multiple institutions. The appointment will be for a one-year contract with potential for renewal. The fellow will be expected to participate in methodological research leading to publications in top statistical and applied journals.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Applied Physics
Accepting applications for a Postdoctoral Fellow position working with Dr. Yiqiao Song on nuclear magnetic resonance (NMR) technology development and applications in subsurface exploration and carbon storage. Successful candidates must be able to work as part of team performing research to support the project. Additional responsibilities include preparation of publications and reports, mentoring of graduate students, and collaboration with other groups. Successful candidates will be self-motivated, have a strong work ethic, be technically skilled, and have excellent oral and written skills. Start dates are flexible, but the positions will be filled as soon as possible and will initially be for one year, renewable for additional years following performance review and funding availability.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Psychology
The Department of Psychology sits within the Division of Social Science, which is strongly committed to creating and supporting a diverse workforce. Respect and fairness, kindness and collegiality, and trust and transparency are among the values we espouse and promote in our workplace culture. We work hard to ensure a healthy, inclusive, and positive environment where everyone does their best work in support of Harvard’s mission. Learn more about our commitment to diversity, inclusion, and belonging in our departmental diversity statement.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow
We are seeking a candidate with expertise in computational and systems biology to work as part of a multidisciplinary team developing methods relevant to the study of genetics, gene regulatory networks, and the use of quantitative imaging data as biomarkers. Our goal is to use these methods to better understand the development, progression, and response to therapy. The successful applicant will work directly with Dr. John Quackenbush, but will be part of a community of researchers consisting of Dr. Quackenbush, Dr. Kimberly Glass, Dr. John Platig, and Dr. Camila Lopes-Ramos, and members of their research teams.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Artificial Intelligence for Dynamics and Control
The Harvard branch of the AI Institute in Dynamic Systems invites applications for a postdoctoral fellowship in the multidisciplinary study of AI for dynamics and control, and in particular the safety, robustness, and scalability of reinforcement learning algorithms, and/or the learning of physically interpretable models of dynamic systems from data. The candidate will have opportunities to work collaboratively with a group of faculty from Electrical Engineering and Applied Mathematics (Na Li), Statistics and Computer Science (Lucas Janson), and Applied Mathematics and Applied Physics (Michael Brenner) on fundamental AI and machine learning theory, algorithms, and applications for real-time learning and control of complex dynamic systems. Candidates should suggest at least two of these faculty as potential advisors for their proposed research. The duration of the fellowship will be one year with the possibility of extending for an additional year.
Postdoc Fellowship Position summary/title: Postdoctoral Fellowships in Cardiac Cell and Tissue Engineering
The Disease Biophysics Group is a creative, transdisciplinary group of engineers, scientists, clinicians and artists that work at the intersection of art, cell biology, design, materials science, and computational modeling.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow with the LIFE Lab – Digital, Data, and Design Institute, Harvard University
The Crafting Your Life (LIFE) Lab, led by Professor Leslie Perlow, is seeking a Postdoctoral Fellow. The mission of the LIFE lab is to use technology to create a life-long learning community that benefits the community through life-long learning and provides academics the opportunity to study both the process of such community building and the content derived from community members’ sharing their life journeys. The lab seeks to explore how HBS alums (a case study of business graduates) craft their lives – exploring questions such as how do they spend their time and how that relates to what matters to them, how do life events influence what matters to them, and how do they make decisions both large and small in living out their life journeys. The LIFE Lab stems from a new second year MBA course created by Professor Perlow in collaboration with second year MBA students and alumni to help students better manage their careers, relationships, and lives after graduating from HBS. The course leverages HBS alumni to learn from their real-world experiences in the years following their own HBS graduation. The LIFE Lab seeks to use data analytics as a powerful enabler for further learning about the alumni’s journeys over the course of their lives, and importantly for fostering community among alumni.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow with the Trustworthy AI Lab – Digital, Data, and Design Institute, Harvard University
The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for multiple postdoctoral fellows to work on research activities at our research labs. D^3 launched in the summer of 2022 with 12 labs working on research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu.
The postdoctoral fellows will work under the direct supervision of faculty Principal Investigators and the Senior Associate Director, Lab Operations. They will work closely with the lab manager and research associate(s) at each lab. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions.
The Trustworthy AI Lab, led by HBS Professors Hima Lakkaraju, Marco Iansiti, and Seth Neel and Harvard SEAS Professor Salil Vadhan, is seeking a Postdoctoral Fellow. The lab focuses on developing algorithms that allow data science practitioners to trade-off ethical considerations like privacy, interpretability, and bias with accuracy, and to mitigate the risks of overfitting. Recent works on fairness have included new definitions of statistical fairness that account for a more complex protected group structure or a more flexible notion of similarity, new algorithms for efficiently deleting user data from neural networks, the SOTA bounds for adaptive data analysis, and new techniques for differentially private optimization. Ensuring privacy and fairness in large-scale genomic analyses is a new research interest. Privacy-Preserving ML (generative models, membership inference, genomic applications). The selected candidate will be expected to lead research in methodological and applied research probing privacy issues in the training and deployment of machine learning models, with a particular focus on generative models (e.g., GANs, VAEs, diffusion models, large language models etc.). We seek highly-motivated applicants with background in one or more of the following areas: generative models, differentially private learning, machine unlearning. We have a particular interest in the use of these methods on genomic data, and so experience working with large genomic datasets a plus (UK Biobank, dbGaP etc). Successful applicants will be strong technically as well as have an inclination towards real-world problems. We are looking for applicants with demonstrably strong research skills, ideally, with publications in top venues in machine learning and/or top-tier interdisciplinary journals — although this is not a hard requirement (e.g., ICML, NeurIPS, ICLR, KDD, AAAI, AI STATS, Nature/Science family of journals, PNAS).
Postdoc Fellowship Position summary/title: Postdoc Fellow in Learning, Optimization, Control, and/or Robotics
Professor Na Li’s group and Professor Heng Yang’s group in the School of Engineering and Applied Sciences (SEAS) at Harvard University seek motivated postdoctoral fellows with a Ph.D. in electrical engineering, computer science, applied mathematics, or any related field. Candidates who have a strong mathematical background in machine learning, reinforcement learning, optimization, control, computer vision, robotics are preferred. Candidates will perform research on learning, optimization, estimation, and control of robotics and autonomous systems with a focus on theory development, algorithm design, performance analysis, and real-world deployment. Candidates have the opportunity to work closely with either PI Li, or PI Yang, or both PIs, as well as the graduate students and collaborators.
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellow in Statistical and Causal Machine Learning Methods for Infectious Disease Science
A postdoctoral research fellowship position is available in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. The scientific goals of this position are the development, implementation, and evaluation of statistical methods for causal inference and machine learning in the study of infectious diseases, including COVID-19 and HIV. The successful postdoctoral candidate will work closely with Dr. Nima Hejazi–with opportunities for both co-supervision/mentorship from Drs. Sebastien Haneuse and Michael Hughes–as well as collaborators at Massachusetts General Hospital and the Fred Hutchinson Cancer Center. The scope of work will focus on nonparametric and semiparametric inferential statistical methods for applications related to COVID-19 (including its post-acute sequelae–“long COVID”), HIV/AIDS, and other infectious diseases. Specific research areas include detection of effect modification and subgroup profiling using clinical histories, causal inference for effects of time-varying interventions in observational studies, and causal mediation analysis as applied to studies evaluating the efficacy of candidate preventive/therapeutic agents. The postdoctoral fellow will have opportunities for both methodological research and close collaboration with medical investigators.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Applied Mathematics
Quantify resource consumption and waste production in the collective dynamics of a ~450 person residential community. The project will involve the design and deployment of sensors (using tinyML, with embedded approaches to ensure differential privacy), statistical analysis of physical, chemical and biological data, mathematical modeling of processes that span prediction and optimal control, and communication of results with the community, with the aim of guiding policy for climate change adaptation. The ideal candidate should have experience with sensor design and deployment, data analysis, mathematical modeling and strong collaborative skills.
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellowship in Biostatistics
A Postdoctoral research fellow position is available in the Department of Biostatistics at Harvard T.H. Chan School of Public Health. The successful candidate will work closely with Dr. Rui Wang and Dr. Michael Hughes. The position involves the development, implementation, and evaluation of statistical methods for both observational and randomized studies in medicine and health care, with a focus on applications related to HIV and other infectious diseases. Specific research areas include the design and analysis of individual and cluster randomized trials, longitudinal data modeling and survival analysis, and methods for hospital profiling. S/he will have opportunities for both methodological research and close collaboration with medical investigators.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Atmospheric Chemistry Modeling
A postdoctoral position is available in the Atmospheric Chemistry Modeling Group at Harvard University. Visit us at http://acmg.seas.harvard.edu/. The successful candidate will work on using satellite observations of atmospheric methane to better quantify methane emissions on regional to global scales through inverse analyses. They will also have the opportunity to work on other problems related to global atmospheric chemistry, air quality, and model development. Applicants should have a Ph.D. in atmospheric science and substantial experience in 3-D modeling of atmospheric composition. Experience with GEOS-Chem and with inverse analysis is a plus.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow
The Grad Lab at the Harvard T.H. Chan School of Public Health invites creative and motivated researchers to apply for a postdoctoral fellowship position in our experimental team. The successful candidate will join our team of experimental biologists in the wet lab, using and developing molecular microbiological, experimental genetics, and population genomics tools to address the pathogenesis and biology of the important human pathogen Neisseria gonorrhoeae, the cause of the sexually transmitted disease gonorrhea and one of the most common bacterial infections worldwide. Multiple projects are available, including projects focusing on antimicrobial resistance; bacterial host/pathogen interactions; and/or fundamental bacteriology, including the development and application of innovative experimental genetics approaches in diverse bacterial isolates collected from patient specimens. The Grad Lab is focused on the evolution, spread, and biology of infectious microbes, with a particular focus on Neisseria gonorrhoeae as a roadmap to address the challenges of antimicrobial resistance. Our team, comprised of researchers, postdocs, and graduate students, uses and develops innovative methods in experimental genetics and microbiology, interdisciplinary methods, and computational techniques to study the public health threat posed by microbial pathogens. To learn more about the Grad lab, please see https://www.hsph.harvard.edu/grad-lab/.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow
The successful candidate will use and develop pathogen genomics and bioinformatics tools in collaboration with our wet lab molecular microbiological and experimental genetics team to work on large microbial genomics datasets. This includes addressing the pathogenesis, biology, and evolution of the important human pathogen Neisseria gonorrhoeae, the cause of the sexually transmitted disease gonorrhea and one of the most common bacterial infections worldwide, and work on datasets from other pathogens that incorporates questions about within-host and population-level dynamics.
Postdoc Fellowship Position summary/title: Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability
Postdocs should also already have significant experience in some area of statistical inference/optimization; you will have the chance to mentor both undergraduate and graduate students in these areas (as it relates to joint projects).
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellow in Biostatistics
The Postdoctoral Research Fellow in Biostatistics at the Harvard T. H. Chan School of Public Health will develop methodology in the areas of longitudinal and survival data analyses. The application of the methods will be used in epidemiologic studies. The selected candidate will work with Prof. Molin Wang (HSPH), Prof. Donna Spiegelman (Yale), Prof. Bernard Rosner and their collaborators. More specifically, the selected candidate be involved with two main
Postdoc Fellowship Position summary/title: Biodiversity Postdoctoral Fellowship
The Biodiversity Postdoctoral Fellowship program supports postdoctoral researchers at the Museum of Comparative Zoology (MCZ) at Harvard University to pursue the discovery and formal taxonomic description of Earth’s animal species. Fellows will work under the supervision of one or more MCZ faculty-curators, who will provide office space, access to lab facilities and necessary research support. The program aims to achieve broad taxonomic coverage and is not restricted to any particular taxon. Applications from botanists working on plant-animal interactions are also welcome.
Postdoc Fellowship Position summary/title: Postdoctoral Position in Nutritional Omics
We are actively hiring for a postdoctoral fellow (2-3 years) working for multiple nutritional omics projects using several large-scale longitudinal cohorts, clinical trials, and Biobanks. Applicants interested in nutritional epidemiology, cardiometabolic disease epidemiology, metabolomics, genetics, and multi-omics integration, are welcome to apply. The fellow will have ample opportunities to work on projects related to the following research areas: Integrate multi-omics data, including genetics, metabolomics, and metagenomics, to examine mechanisms through which diet and lifestyle affect the risk of cardiovascular disease and diabetes.
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellow – CAUSALab
The CAUSALab in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health is accepting applications for postdoctoral research fellows to work on research activities within the research lab. The CAUSALab launched in 2021 to articulate a growing research portfolio, create synergy with it;s strategic partners, and provide training on causal inference to the next generation of investigators.
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellow for Statistical Methods in Population Health Disparities
The Department of Biostatistics at Harvard TH Chan School of Public Health invites applications for a Postdoctoral Research Fellowship focused on the development of statistical methods for population health disparities. The postdoctoral fellow will work with Dr. Briana Stephenson and collaborate with a multidisciplinary research team to develop innovative statistical and machine learning methods to address and identify bias and inequities in population health. Areas of interest include: identifying bias in healthcare access and delivery, statistical methods for high-dimensional exposures in minority populations, model-based clustering techniques for understudied populations, and survey sampling methodology for diverse population cohorts. Research applications will utilize data from cancer registries, national survey studies, and large prospective cohort studies. The postdoctoral fellow will develop their research and training agendas through formal mentorship, seminars, conferences, and an Individual Development Plan (IDP) to explore and identify the fellow’s professional needs and career objectives.
Postdoc Fellowship Position summary/title: Postdoctoral Research Position in Statistical Genetics and Genomics
Postdoctoral Research Fellow position in statistical genetics and genomics is available at Harvard T. H. Chan School of Public Health. This position involves developing and applying statistical and machine learning methods for analysis of high-throughput genetic and genomic data, including large scale Whole Genome Sequencing association studies, integrative analysis of genetic and genomic data, high-dimensional phenotype analysis, causal mediation analysis and Mendelian Randomization, Polygenic risk scores, and analysis of biobanks. We seek an individual with strong statistical, computing, and genetic backgrounds and who has expertise in statistical and computational methods for big data, statistical genetics and genomics. The work will involve both methodological research with department faculty and collaboration with subject matter researchers and investigators in large consortia.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow of History and Theory of Architecture, Landscape, and Urbanism
The Harvard Graduate School of Design is currently seeking to appoint a postdoctoral fellow in the history and theory of architecture, landscape, and urbanism. This appointment has been created to support a scholar in residence to pursue research and teaching. The recipient of the fellowship is expected to join the GSD community as well as participate in its life. The fellow will be required to teach the equivalent of one lecture course or two seminars (to be finalized after consultation with Harvard senior faculty members). The fellow will also be asked to give one public lecture to the GSD community related to their ongoing research.
Postdoc Fellowship Position summary/title: Postdoctoral Fellowship in Visualization and Machine Learning at Harvard University
The Interactive Insight Lab in the School of Engineering and Applied Sciences (SEAS) at Harvard University seeks motivated postdoctoral fellows with a Ph.D. in computer science/engineering or a related field to work on research projects in the areas of data visualization and machine learning. In addition to working closely with graduate students and collaborators on research projects, the candidate is expected to actively participate in writing grant proposals.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow – Neural Engineering at Harvard BIONICs Lab
We are looking to hire 2 postdoctoral fellows who are motivated, hard working, and creative scientists, engineers, and/or doctors! The lab is committed to fostering lifelong learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Applied Mathematics
Post-doctoral position in Applied Math. Fellow will conduct research applying machine learning technology to diverse problems in the sciences, aiming in particular at using traditional scientific computing code but in an autodiff framework. Applications could include models of developmental pathways, computational material science and particle dynamics and computational fluid dynamics. Postdoctoral fellow will be expected to publish results in top tier journals and work with graduate students and undergraduates to advance research goals.
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellow in Causal Inference for Cancer Control
The Department of Epidemiology at the Harvard T.H. Chan School of Public Health studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global research initiatives, we educate and prepare future medical leaders and practitioners as part of our mission to ignite positive changes in the quality of health across the world. Dr. Barbra Dickerman at the Harvard T.H. Chan School of Public Health invites motivated researchers to apply for a postdoctoral research fellow position in causal inference for cancer control. The successful candidate will apply modern causal inference methods to large health databases (e.g., electronic health records) to inform decision-making about cancer prevention, early detection, and treatment. Multiple projects are available, including the (1) evaluation of drugs with identified repurposing potential for cancer prevention, (2) evaluation of dynamic (adaptive) screening strategies for cancer, and (3) investigation of the optimal timing and sequencing of cancer treatments.
Postdoc Fellowship Position summary/title: MCH Digital Humanities post-doctoral fellow
The Mapping Color in History [MCH] project (PI: Professor Jinah Kim, History of Art & Architecture; see project website: https://mappingcolor.fas.harvard.edu) at Harvard University invites applications for a postdoctoral fellowship in digital humanities for the academic year 2023-2024. As the MCH project enters a new phase of development with a Level III National Endowment for Humanities Digital Humanities Advancement Grant (Level III, Award No. HAA-290367-23), we seek scholars whose work engages with the Digital Humanities for art historical research and/or conservation science research to join our team. The MCH is a digital platform that compiles pigment analysis data from existing and on-going research on scientific analysis of pigments in a historical perspective. The MCH project is inherently multidisciplinary as it aims to bring together scientific analysis and humanistic research. The project can be best described as a three-legged stool: its three legs are 1) digital asset and software development, 2) conservation science research (core data), and 3) art historical research (core data). In addition to continuing to enhance the pigment analysis data and corresponding art historical data in terms of quantity and quality, the NEH grant funded MCH development will transform a simple pigment database with basic search and data mapping capacity to a full-pledged research platform that enables innovative collaborative research across art and science with novel ways to visualize and present scientific data with art historical research, which would also allow sharing the findings from the site in an academically sound manner. The DH fellow will play a crucial role in this transformation process: researching visual data management, presentation, and visualization under the direction of PI, and helping the PI and the MCH team to improve consistency in data and develop data standards.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Immunoengineering
Post-doctoral fellow in immunoengineering. Researcher will develop new engineering strategies for T cell immunotherapy by exploiting the mechanosensitivity of the T cell receptor. Mechanotransduction pathways will be studied, as will effector functions of T cells in culture and in vivo.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Immunoengineering
Post-doctoral position in immunoengineering Researcher will qualitatively and quantitatively study the response of lymph nodes to biomaterial-based vaccination. Relevant techniques to characterize changes in physical properties will include nanoindentation, and alterations in cell populations and gene expression may be analyzed using spatial transcriptomics.
Postdoc Fellowship Position summary/title: SoHP-MHAAM/Getty Postdoctoral Fellowship in Archaeology
We are looking for an exceptionally able archaeologist of Classical civilization who is interested in participating in archaeogenetic and archaeological research into the interaction of Classical and Near Eastern Civilization. The candidate need have no prior experience in ancient DNA or ancient biomolecular research but will want to be curious and open to the new approaches. The postdoc will be paired with another postdoc, an archaeogeneticist, for the 2-year period of the award; we envision that the archaeologist will teach archaeology to the geneticist and serve as an archaeological resource for the lab. S/he will be motivated to learn and to co-author new studies that integrate advanced archaeological research with new archaeogenetic discoveries.
Postdoc Fellowship Position summary/title: Postdoctoral Researcher in Sign Language Linguistics
The Department of Linguistics seeks applications for a full time postdoctoral researcher in sign language linguistics. The appointment is expected to begin on or after July 1, 2023. The postdoc will be responsible for research on sign language linguistics and meaning, focusing on work related to the National Science Foundation grant on “Experimental pragmatics and semantics in visual language.” Research perspectives outside of those already represented in the lab are especially valued, such as work on other sign languages and/or work in other linguistics frameworks. As part of this research we expect the postdoc will publish in high profile journals and present in conferences and workshops, and prepare grant proposals for continued study of this work. We also expect the postdoc to mentor and interact with undergraduate and graduate students and other connected researchers through research collaborations in the laboratory.
Postdoc Fellowship Position summary/title: POSTDOCTORAL FELLOW ORGANIC GEOCHEMISTRY
The Department of Human Evolutionary Biology at Harvard University located in Cambridge, Ma, invites applications for a Postdoctoral Fellow position in the Uno Terrestrial Paleoecology Lab. The position will focus on applying biomarker approaches to reconstructing ecosystem and fire history in the Plio-Pleistocene of Africa with a particular focus on Olduvai Gorge, Tanzania and the middle Pleistocene to present in north Africa. The work will involve (1) sampling, analysis, and interpretation of plant waxes and polycyclic aromatic hydrocarbon (PAHs) data extracted from wide range of sediments, including those from fluvial-lacustrine drill cores and outcrops, (2) statistical analysis of plant waxes and PAHs to differentiate pyrogenic from petrogenic sources, and 3) integration of this data with existing vegetation and hydroclimate data. Candidates with prior experience in these lab skills or analytical approaches, including spectral analysis, are strongly preferred. Past and ongoing work on Diversity, Equity and Inclusion efforts in STEM, Paleoanthropology, or the Earth Sciences is also preferred. The candidate will be expected to work collaboratively with members of the lab group and colleagues at other institutions.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Thermal and Environmental Barrier Coatings
Applications are invited for a Postdoctoral Fellow to work with Professor David Clarke on oxide materials for high-temperature coatings and related materials. A PhD or equivalent in materials science, applied physics, thermal properties, mechanical engineering or a related area is required. The ideal candidate would also have experience in the design of experiments, should be comfortable with a wide variety of materials and, also, be able to conduct experiments independently. The successful candidate will carry out both experimental and modeling research related to novel high-temperature thermal protection systems and their thermal characterization. Responsibilities include preparation of publications in high impact journals and reports, mentoring of graduate students and collaboration with other groups. The successful candidate will be self-motivated, have a strong work ethic, be technically skilled and have strong oral and written skills. The position will be filled as soon as possible and will initially be for one year, renewable for additional years following exemplary performance.
Postdoc Fellowship Position summary/title: Postdoctoral Research Fellowship – Global Maternal and Child Health Epidemiology
The Sudfeld Research Group within the Nutrition and Global Health Program in the Department of Global Health and Population, at the Harvard T.H. Chan School of Public Health is seeking a highly motivated postdoctoral researcher with an interest in global health, epidemiology, and maternal and child health. The Postdoctoral Research Fellow will contribute to ongoing maternal and child health clinical trials conducted by the research group including an NIH-funded clinical trial of zinc for young Tanzanian infants with sepsis and two clinical trials funded by the Bill & Melinda Gates Foundation that are being conducted in Tanzania focused on feeding options for preterm infants and iron dosages in multiple micronutrient supplements for pregnant women. The postdoctoral fellow will also have access to data from completed trials and studies to lead analyses and publications based on their research interests. This position provides the opportunity to develop and extend skills in field research, advanced epidemiologic methods, and author manuscripts for publication. The postdoctoral fellow will also serve as part of the mentorship team for graduate students and fellows linked to the Nutrition and Global Health Program. All activities will be conducted in close collaboration with Dr. Sudfeld and Investigators in the US and Tanzania.
Postdoc Fellowship Position summary/title: Research Associate/Statistician
The Office of Global and Community Health (OGCH) and the HSDM Initiative to Integrate Oral Health and Medicine (Initiative) seeks a research associate to join our research team and provide quantitative and analytical support. Our faculty and student led research is focused on building the evidence base to promote the essentialism of oral health and to promote systems changes that enhance equitable health outcomes through integration of dental care with medical and social care. We promote public health dentistry, raise awareness, and alleviate disease burden through rigorous research and education programs. The Initiative is seeking a statistician to work on a variety of research projects and tasks. We use methods from the fields of computer science, epidemiology, and statistics to evaluate public health programs, build more robust payment systems, and target interventions to improve health outcomes. In this role, the individual will be responsible for conducting comparative effectiveness analysis of benefit plans, managing and analyzing large electronic health record and claims datasets, and running simulation models of innovative payment systems and policy interventions, fostering collaboration with the Harvard Data Science Initiative and other Harvard research teams. Understanding of and experience with machine learning principles preferred. The candidate will work as part of an interdisciplinary team of clinical and public health professionals contributing to the design of studies, performing statistical analysis, interpreting data, and preparing oral and written scientific reports. The selected candidate will be expected to provide scientific expertise and engage directly in research and methods development with faculty, program directors, and postdoctoral fellows to collaborate in solving important scientific problems related to the school’s mission.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Integrated Nonlinear Photonics
A postdoctoral position is available in Kiyoul Yang’s group at Harvard University. We are looking for candidates with a strong background in laser physics, nonlinear optics, and photonic integration. For the postdoc position, the primary concentration would include:
Chip-scale ultrafast optics (near- and mid-infrared)
Integrated nonlinear multimode photonics (wavelength and spatial modes)
These directions may require additional efforts in photonic inverse design and collaborations with foundries.
Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Resilient Multi-Robot Systems
Postdoctoral fellow will conduct research in multi-agent coordination with a particular focus on cases where malicious agents in the network disrupt optimal or nominal coordination between agents. We are interested in developing the theory and accompanying analysis to characterize and mitigate the impact of adversarial agents on multi-agent coordination schemes. Some particular areas of interest are consensus systems, distributed optimization (and federated learning), and game theory. Postdoctoral fellow will be expected to publish results in top tier control and robotics journals (such as but not limited to, Transactions on Automatic Control, Automatica, Transactions on Robotics, International Journal on Robotics Research, and Science Robotics), mentor and collaborate with PhD students in the lab, and contribute to related research proposals. Developed algorithms and derived results may be deployed and validated on actual multi-robot system platforms in the REACT Lab.
Harvard University is a private Ivy League research university in Cambridge, Massachusetts. Established in 1636 and named for its first benefactor, clergyman John Harvard, Harvard is the oldest institution of higher learning in the United States and among the most prestigious in the world.
The Massachusetts colonial legislature, the General Court, authorized Harvard’s founding. In its early years, Harvard College primarily trained Congregational and Unitarian clergy, although it has never been formally affiliated with any denomination. Its curriculum and student body were gradually secularized during the 18th century, and by the 19th century, Harvard had emerged as the central cultural establishment among the Boston elite. Following the American Civil War, President Charles William Eliot’s long tenure (1869–1909) transformed the college and affiliated professional schools into a modern research university; Harvard became a founding member of the Association of American Universities in 1900. James B. Conant led the university through the Great Depression and World War II; he liberalized admissions after the war.
The university is composed of ten academic faculties plus the Radcliffe Institute for Advanced Study. Arts and Sciences offers study in a wide range of academic disciplines for undergraduates and for graduates, while the other faculties offer only graduate degrees, mostly professional. Harvard has three main campuses: the 209-acre (85 ha) Cambridge campus centered on Harvard Yard; an adjoining campus immediately across the Charles River in the Allston neighborhood of Boston; and the medical campus in Boston’s Longwood Medical Area. Harvard’s endowment is valued at $41.9 billion, making it the largest of any academic institution. Endowment income helps enable the undergraduate college to admit students regardless of financial need and provide generous financial aid with no loans.[ The Harvard Library is the world’s largest academic library system, comprising 79 individual libraries holding about 20.4 million items.
Harvard has more alumni, faculty, and researchers who have won Nobel Prizes (161) and Fields Medals (18) than any other university in the world and more alumni who have been members of the U.S. Congress, MacArthur Fellows, Rhodes Scholars (375), and Marshall Scholars (255) than any other university in the United States. Its alumni also include eight U.S. presidents and 188 living billionaires, the most of any university. Fourteen Turing Award laureates have been Harvard affiliates. Students and alumni have also won 10 Academy Awards, 48 Pulitzer Prizes, and 108 Olympic medals (46 gold), and they have founded many notable companies.
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