13 Postdoctoral Fellowship at University of Maryland, United States
Spread the love
University of Maryland, United States invites online Application for various Postdoctoral Fellowship in their different Departments. We are providing a list of Postdoc Fellowship positions available at University of Maryland, United States.
Eligible candidate may Apply as soon as possible.
(01) Postdoctoral Fellowship Position
Postdoc Fellowship Position summary/title: Post-Doctoral Associate
A Post-Doctoral Associate position is available in the Liu lab at the Institute for Bioscience and Biotechnology Research (IBBR) of the University of Maryland College Park in Rockville, MD. The research project focuses on the molecular understanding of chaperone-mediated protein folding and translocation using cryo-EM, biochemistry, and computational modeling.
The postdoc will carry out daily research tasks in the lab, including maintaining cell culture, protein expression, and purification, running biochemical/biophysical assays, protein structure determination with cryoEM, training undergraduate and graduate students, and writing research proposals and publications.
Postdoc summary/title: Postdoctoral Associate/Assistant Research Professor
The GEDI mission focuses on biomass estimation, biodiversity, habitat characterization, forest complexity, and prognostic ecosystem models, and is slated to resume operations in late 2024 for a minimum of three years. An important aspect of our current initiatives focuses on the integration of GEDI data with other Earth Observation (EO) data such as from passive optical/stereo and Synthetic Aperture Radar (SAR) technologies. The latter includes data from TanDEM-X, ALOS-2 and Sentinel-1 as well as the forthcoming NISAR and BIOMASS missions. Successful candidates will participate in diverse aspects of GEDI-related science analyses and projects. This participation includes refining and validating science algorithms, post-flight calibration and validation, developing field observation databases, science data product development and the fusion of multi-sensor data. There is also the opportunity to utilize these remote sensing data in science investigations within the candidate’s areas of interest.
Our NASACMS projects are focused on combining GEDI and interferometric SAR (InSAR) data to map high-resolution biomass and its changes, in collaboration with partner institutions including the German Aerospace Center (DLR), alongside activities utilizing these data to drive ecosystem and diversity models. Our mature and old-growth forest work is in partnership with the U.S. Forest Service, NASA Goddard Space Flight Center (GSFC), and Harvard Forest. This research is developing methodologies for the assessment and monitoring of mature and old-growth forests using a comprehensive range of EO data, modeling, and in situ national forest inventory data. These projects have significant engagement with stakeholders at the local, national, and international levels.
Postdoc Fellowship Position summary/title: Post-Doctoral Associate
The Postdoctoral Associate will work at the University of Maryland (College Park) in the Shahoveisi’s lab and will work on applied and basic research projects related to turfgrass disease identification and management. The postdoctoral associate will be expected to be an independent and collaborative team member in research and extension activities. Candidates should have background and expertise in one or both of the following fields:
Postdoc Fellowship Position summary/title: https://ejobs.umd.edu/postings/116995
One or two positions are available to work on NASA-funded research projects using satellite lidar (GEDI, ICESat-2) for mapping and monitoring forest structure and biomass. The position(s) will include algorithm development, large data processing, and cloud computing for wide area product generation. The position(s) will also involve working with users of biomass products e.g. for policy uptake in national reporting, protected area analysis, and/or forest biomass change related to growth, recovery, degradation and deforestation. Candidates with both strong computational backgrounds and strong publication records are particularly sought after. The position(s) will involve working with large international research and policy teams and thus communication skills are also important. Applicants with experience in lidar-based biomass mapping are particularly encouraged. Additionally, applicants from monitories in STEM fields are particularly encouraged. Given long processing times for visas in the US, while international applicants are welcome priority will be given to those who would be eligible to work in the US by June 1, 2024.
Postdoc Fellowship Position summary/title: Postdoctoral Associate
The A. James Clark School of Engineering at the University of Maryland serves as the catalyst for high-quality research, innovation, and learning, preparing our students to create innovations that will address the 21st century Grand Challenges (e.g., energy, environment, security, and human health) and improve the human condition. The Clark School is dedicated to leading and transforming the engineering discipline and profession, to accelerating entrepreneurship, and to transforming research and learning activities into new innovations that benefit millions.
Postdoc Fellowship Position summary/title: Post-Doctoral Associate
The postdoctoral researcher will have a key role in an ongoing project to model ridership across the Washington Metropolitan Area Transit Authority (WMATA) railway system (i.e., D.C., Maryland, & Virginia) using survey data, smart card trip data, and an array of factors related to travel, transit ridership, land use, the built environment, urban form, and transport infrastructure. A key task will be to develop an enhance ridership model using new data sources and through the application of geospatial analytical techniques and machine learning. A primary task of the post-doctoral researcher will be to lead model development and enhancement efforts within the UMDNCSG–CGIS team. The goal of this project is to construct models capable of capturing how ridership trends have evolved over time as the transit system has expanded. At the same time, new built environment and ridership-related variables have become available as well as new machine learning-based approaches for modeling space-time trends. As a result, the postdoctoral researcher will assist with: (1) collect and manage a database of diverse variables; (2) create new variables based on the transportation network, points-of-interest, and neighborhood characteristics; (3) construct ridership models using regression techniques, geospatial analytical techniques, and machine learning techniques; (4) employ these ridership models to understand the factors responsible for generating ridership across different types of stations and forecasting future scenarios; and (5) draft progress reports & scholarly manuscripts for publication. The postdoctoral researcher will work closely with the project team and partner organizations on model integration, scenario development and analysis, and testing. The project will provide a unique opportunity to work in a truly multi-disciplinary and multi-organizational team composed of transportation and urban planning researchers, geospatial information scientists, local planners, and technologists.
Postdoc Fellowship Position summary/title: Post-Doctoral Associate
The Maryland Institute for Applied Environmental Health within the University of Maryland, School of Public Health is seeking a highly motivated individual for the grant funded position of Postdoctoral Fellow. This individual will join a dynamic team committed to working with public health and social justice leaders from academia, community, government and beyond for our NIEHS-funded project, Research Employing Environmental Systems and Occupational Health Policy Analyses to Interrupt the Impact of Structural Racism on Agricultural Workers and Their Respiratory Health (RESPIRAR). The long‐term goal of RESPIRAR is to unpack the mechanisms through which structural racism shapes respiratory health trends among Black and/or Latinx migrant seasonal farmworkers and to inform the design of policies and best practices for optimizing the living and working conditions and better health protections among these vulnerable workers. Our project advances an innovative combination of environmental exposure analysis, longitudinal legal analysis, system dynamics modeling, and community-based research methods. The multidisciplinary project team convenes academic researchers in environmental health sciences, anthropology, biostatistics, system dynamics and occupational health law working in partnership with el Comité de Apoyo a Los Trabajadores Agricoles (CATA– the Farmworker Support Committee), a community-based advocacy organization.
Deadline : Open Until Filled
(08) Postdoctoral Fellowship Position
Postdoc Fellowship Position summary/title: Post-Doctoral Associate
The Center for Health Information and Decision Systems (CHIDS), an academic research center in the Robert H. Smith School of Business, University of Maryland at College Park invites applications for a postdoctoral associate position starting in the Spring 2022 semester and continuing for up to two years. Ideal scholars are those working on health services, healthcare analytics, health IT, and health equity. We especially welcome candidates with strong data skills. The postdoctoral associate will join an active research community, have ample opportunities to connect with new collaborators and mentors, and present and obtain feedback on their own research. Especially, the postdoc will have access to multiple industry partners with EHR, claims, and mobile health data, as well as the AIM–AHEAD network resources including large datasets and computing infrastructure.
Postdoc Fellowship Position summary/title: Post-Doctoral Associate
The Planetary Surfaces and Spacecraft Lab at the University of Maryland, College Park is hiring multiple postdoctoral researchers. We are looking for experimentalists with experience working with vacuum systems, plasma physics, and/or granular materials and an interest in developing technology to remove lunar regolith from spacesuits and solar panels. The goal of this project is to demonstrate the functionality of a specialized lunar “lint roller” that uses synthetic gecko skin to remove dust, rather than a traditional adhesive. Additionally, we will be developing a cleaning appliance to make the gecko roller reusable. One investigator will build and operationalize a new UHV chamber system and test the gecko roller at lunar-relevant pressures. Other investigators will design, build and test the efficacy of the cleaning appliance. The postdoctoral investigators will work with Dr. Christine Hartzell and other team members (postdocs, grad students, and undergrad students) to mature this technology, and present research results (via conferences and journal publications) to the wider planetary science and exploration community.
The appointment will be in the Department of Aerospace Engineering, full-time, for at least one year, renewable for a second year upon satisfactory performance. Remuneration will be competitive and based on qualifications.
Postdoc Fellowship Position summary/title: Post-Doctoral Associate
The University of Maryland has made the safety of our students, faculty and staff, and our surrounding communities a top priority. As part of that commitment, the University requires that students, faculty, and staff on the UMD campus be vaccinated against COVID-19. As a prospective and/or a new employee at UMD, you will be required to comply with the University’s vaccination protocol. Proof of full vaccination will be required before the start of employment in order to work at any University of Maryland location. Prospective or new employees may seek a medical or religious exemption to the vaccination requirement at return.umd.edu and must have an approved exemption prior to the start of their employment. Failure to provide proof of vaccination or to obtain approval for a medical or religious exemption will result in the offer of employment being rescinded.
Postdoc Fellowship Position summary/title: Postdoctoral Associate
The Department of Mechanical Engineering at the University of Maryland, College Park, announces multiple open postdoctoral positions focused on the development of novel materials and systems for thermal management of power and microelectronic systems, energy storage, cryogenic systems, wideband gap materials, and Machine Learning based electrothermal analysis of devices. The Postdoctoral Associate will perform research under the direction of PIs – Dr. Samuel Graham and Dr. Damena Agonafer.
The project objectives include the development of a novel thermal management system for high power electronic devices employing evaporative cooling technology, evaporative membrane design for low surface tension dielectric coolant and the development of a revolutionary composite metal/organic phase change material for transient thermal management, novel ALD/CVD/PVD surface coating and structures for immersion boiling enhancement. In addition, we will be deploying physics informed neural network modeling to predict the electrothermal behavior or high power rf devices.
Anticipated responsibilities include the assembly and/or modification of specialized test equipment and facilities, the development and application of novel measurement techniques, the performance of detailed measurements and analyses, and interactions with collaborators. Also, duties will include the development of a PINN modeling framework for electrical and thermal response under various bias conditions. Familiarity with neural network modeling and GaN rf-devices will be important.
Postdoc Fellowship Position summary/title: Post-Doctoral Associate
The University of Maryland has made the safety of our students, faculty and staff, and our surrounding communities a top priority. As part of that commitment, the University requires that students, faculty, and staff on the UMD campus be vaccinated against COVID-19. As a prospective and/or a new employee at UMD, you will be required to comply with the University’s vaccination protocol. Proof of full vaccination will be required before the start of employment in order to work at any University of Maryland location. Prospective or new employees may seek a medical or religious exemption to the vaccination requirement at return.umd.edu and must have an approved exemption prior to the start of their employment. Failure to provide proof of vaccination or to obtain approval for a medical or religious exemption will result in the offer of employment being rescinded.
Postdoc Fellowship Position summary/title: Post-Doctoral Associate
A Postdoctoral Research Associate position in nanoscale science & technologies is immediately available under the Professional Research Experience Program (PREP) between the National Institute of Standards and Technology (NIST) in Gaithersburg MD and the University of Maryland (UMD) in College Park MD. The successful candidate will be a UMD employee joining the NIST’s multidisciplinary team and conducting full-time research on NIST-Gaithersburg campus towards the development of a novel neutron interferometric measurements for quantum applications. In particular, the candidate will help to develop and nanofabricate a novel class of micro- and nanograting-based quantum devices and structures that will be a foundation for the next-generation neutron interferometers. The new devices will use spatially correlated spins, phase, linear and angular momentum of neutrons for high precision measurements of fundamental forces and materials structure.
The University of Maryland, College Park (University of Maryland, UMD, or simply Maryland) is a public land-grant research university in College Park, Maryland. Founded in 1856, UMD is the flagship institution of the University System of Maryland. It is also the largest university in both the state and the Washington metropolitan area, with more than 41,000 students representing all fifty states and 123 countries, and a global alumni network of over 360,000. Its twelve schools and colleges together offer over 200 degree-granting programs, including 92 undergraduate majors, 107 master’s programs, and 83 doctoral programs. UMD is a member of the Association of American Universities and competes in intercollegiate athletics as a member of the Big Ten Conference.
The University of Maryland’s proximity to the nation’s capital has resulted in many research partnerships with the federal government; faculty receive research funding and institutional support from agencies such as the National Institutes of Health, the National Aeronautics and Space Administration (NASA), the National Institute of Standards and Technology, the Food and Drug Administration, and the Department of Homeland Security. It is classified among “R1: Doctoral Universities – Very high research activity” and is labeled a “Public Ivy”, denoting a quality of education comparable to the private Ivy League. UMD is ranked among the top 100 universities both nationally and globally by several indices.
In 2016, the University of Maryland, College Park and the University of Maryland, Baltimore formalized their strategic partnership after their collaboration successfully created more innovative medical, scientific, and educational programs, as well as greater research grants and joint faculty appointments than either campus has been able to accomplish on its own. According to the National Science Foundation, the university spent a combined $1.1 billion on research and development in 2019, ranking it 14th overall in the nation and 8th among all public institutions. As of 2021, the operating budget of the University of Maryland is approximately $2.2 billion.
Disclaimer: We try to ensure that the information we post on VacancyEdu.com is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
cookielawinfo-checbox-analytics
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checbox-functional
11 months
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checbox-others
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-necessary
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-performance
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy
11 months
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
