35 Postdoctoral Fellowship at Uppsala University, Sweden

A postdoctoral fellow’s duties consist mainly of research, but also some administration and the task of applying for external research funding in the field concerned. The position requires continuous attendance at the Centre, active participation in seminars, on-going presentation of the fellow’s research and, where necessary, some teaching and supervision of students or other tasks corresponding to up to 20% of the position.

A postdoctoral fellow’s duties consist mainly of research, but also some administration and the task of applying for external research funding in the field concerned. The position requires continuous attendance at the Centre, active participation in seminars, on-going presentation of the fellow’s research and, where necessary, some teaching and supervision of students or other tasks corresponding to up to 20% of the position.

Gender and Work is a two-decades-long research project (2008–2029) currently financed by the Swedish Research Council (Vetenskapsrådet) and the Wallenberg Foundations. The goal of the project is to conduct empirical historical research into women’s and men’s work and to develop theoretical and methodological tools regarding work, including research infrastructure. Information about the project can be found at https://www.uu.se/forskning/gender-and-work/. 

The GaW project now welcomes a scholar who is interested in using the project’s methodology in studies of Southern-European early modern societies, preferably Portuguese early modern history. The successful applicant is expected to participate actively in project meetings, seminars and workshops, etc. at the department and within the GaW group. Commuting will be accepted, but the successful applicant should be at the department at least once per month.

The project SponBIODIV is an EU-funded international consortium aimed at establishing diversity and distribution baseline knowledge and deliver tools to improve management and conservation of sponges across the Atlantic and Mediterranean, at the levels of genes, species, and habitats. The project is anchored on the establishment of a trans-European and pan-Atlantic network of research organizations that will engage with key stakeholders to support evidence-based policies for management, conservation, and restoration of marine biodiversity, from coastal areas to deep-sea ecosystems. One of the SponBIODIV aims at Uppsala University is to identify hotspots of bio- and phylodiversity in European waters, focusing on several case study areas, one of which is the Norwegian coast. The postdoc will study recent and museum collections housed at the Museum of Evolution, Uppsala University, to identify specimens and produce DNA barcodes (28S, COI, other markers) to enrich our species databases. The phylogenetic relationships of some of these taxa will be investigated, in search for cryptic species and revision of the demosponge classification. If new species are discovered, they will need to be described.

We are looking for a postdoctoral fellow for training and research within the frame of our projects in the field of cardiovascular epidemiology. The projects involve primarily register-based studies (1) concerning psychosocial risk and prognostic factors and the social consequences of heart failure and (2) prenatal risk factors for cardiovascular diseases. Your main work tasks will involve data cleaning, merging and analyses, writing of scientific publications, oral presentations of study results, as well as other project-related tasks. We have good premises, but working in part remotely is also possible.

The duties of a Post-doc are primarily directed at their own research. The work may also involve, to a limited extent (maximum 20%), other departmental duties, mainly related to teaching courses.

The aim of the research is to study various problems in mathematical general relativity and to develop geometric and analytic methods for the study of such problems. Of special interest are problems concerned with establishing a lower bound for the mass of spacetimes with certain asymptotics using methods from the calculus of variations, geometric measure theory and geometric PDEs.

Research in the field of bioinformatics. Computational method development to integrate data from cell morphology (cell painting) with proteomics (thermal proteome profiling) for the analysis of the mechanistic effects of chemicals on cells. The project will be conducted in collaboration with an experimentally oriented postdoc who will be recruited simultaneously to the department.

Russian and Eurasian Studies has been an established academic discipline at Uppsala University for almost fifty years; today, IRES is a thriving hub for research and teaching related to Eurasia. We specialize in research related to social, political, and economic transformation in Russia and the post-Soviet space. Our multidisciplinary research spans across several disciplines, including political science, economics, geography, media and communication, sociology, anthropology, history and literature.

IRES is looking for a postdoctoral researcher with established research expertise and skills in remote sensing of forest data; knowledge of the academic debates on threats to Russian boreal forests, and Russian language skills are desirable. Russian forests comprise nearly 20% of the world’s forests and are widely understood to be an important future carbon sink of a warming planet. While social and climate scientists have advanced knowledge on current and future threats to boreal forests – forest fires, illegal logging and newly emerging pathogens and pests – much less is known about the governance mechanisms and civil society involvements that respond to these threats. IRES is interested in forming an interdisciplinary network of scholars who conduct research that in broadly addresses governance and politics of boreal forest in Russia. The post-doctoral scholar will help develop this research network, both by developing

The Department of Immunology, Genetics and Pathology at Uppsala University has a broad research profile with strong research groups focused on cancer, autoimmune and genetic diseases. A fundamental idea at the department is to stimulate translational research and thereby closer interactions between medical research and health care. Research is presently conducted in the following areas: cancer precision medicine, cancer immunotherapy, genomics and neurobiology, molecular tools and functional genomics, neuro-oncology and neurodegeneration and vascular biology. Department activities are also integrated with the units for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including Master Programmes, at the Faculty of Medicine, and at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 500 million, out of which more than half is made up of external funding. The staff amounts to approximately 345 employees, out of which 100 are PhD-students, and there are in total more than 700 affiliated people. Feel free to read more about the department’s activities here: www.igp.uu.se

The objective of the position is to explore and provide privacy-preserving and robust techniques to build strong IDS with contributions from multiple actors and systems, to share knowledge from different environments and contexts. Specifically, the position will focus on methods for mitigating the expected data heterogeneity in federated learning (FL) among a set of IoT network providers, as well as FL-model robustness. The position is for two years, and includes department duties (mainly teaching) at a level of at most 20%.

We are looking for a researcher with strong interest in developing, implementing and adjusting image analysis tools for quantitative analysis of microscopy data. Much focus is on large scale analysis based on machine learning and deep learning/AI. You will work with shorter and longer projects and offer research support via the BIIF nodes in Uppsala and Stockholm, and other universities in Sweden. The appointment also includes duties in the form of organizing user meetings/courses and workshops in digital image processing and analysis with life science applications. Supervision of MSc theses in the area is also part of the duties, as well as some involvement in research projects within Carolina Wählby’s research group. 

Development and analysis of a novel type of goal targeting antibodies that can transport different types of drugs to selected parts of the body or selected cell types. This is a collaboration between Sara Mangsbos and Greta Hultqvists research groups. In the project, design and production of antibodies and cargos is includes as is analysis in vitro and in vivo.

The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The main focus of the current research project is materials modelling of polymer electrolytes for Li-ion batteries through application of primarily DFT calculations and MD simulations. The work involves collaboration with other European partners, both from academia and industry.

The project is about developing smart patches with more sustainable technology and with reduced environmental impact. We will study patches based on biomaterials, which are biodegradable without microplastic waste, as well as new methods for reusing electronic components and recycling metals.

The project is part of the Horizon Europe project PERSIMMON, which starts in the autumn with 13 partners from five countries and is coordinated by us, and builds on previous work in the H2020 project SINTEC. In collaboration with colleagues and other partners, smart patches for various applications in e.g. sports medicine will be developed. Technology transfer to industrial partners will be done to enable the production of prototypes for the end users.

 

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoctoral position in medical Epidemiology

Deadline :  2024-05-02

View details & Apply

 

Lead, plan and coordinate research activities within the group. Ensure oversight, integration and daily operations of multiple research projects within the group. Procure and manage suppliers. Evaluate, analyze, review data, and communicate research externally. Partake in defining and strategize research direction for the group, and provide suggestions for new projects. Manage the supervision of other team members on a daily basis to ensure projects progress forward.

 Lead and coordinate individual projects. Be actively involved and proactive in research projects. Plan, conduct, and analyze experiments. Develop, optimize, validate and troubleshoot immunological assays and implement techniques to assess mechanisms of action in a timely manner. Excellent verbral and writing skills for documentation of data, summarize experiments, communicate results, and participate in conceptualize further steps in the development. Work collaboratively in a team environment with a high degree of self-motivation. No planned teaching duties for this position.

We are in an expansive phase and are therefore looking for co-workers that will follow us in this exciting progress. Further information on the activity of the research group can be found at Ingrid Glimelius – Immunology, Genetics and Pathology, IGP – Uppsala University, Sweden (uu.se).  
You will have the possibility to work at EpiHubben Uppsala University. EpiHubben is a dynamic and friendly research working environment with great opportunities for interaction. Today approximately 50 researchers from different research groups are located in this nice working environment. In addition, you will work together with researchers at Sci Life Lab and associate professor Panagiotis Baliakas at the clinical genetics’ facility, Uppsala University. 

I have an opening for a post doc position with experience in bioinformatics and epidemiology. We are in an expansive phase and are therefore looking for coworkers that will follow us in this progress. We work in a field were results quickly can be implemented into clinical care. You will have the possibility to work at EpiHubben Uppsala University. EpiHubben is a dynamic and friendly research working environment with great opportunities for interaction. 

Research on fundamental models and methods in machine learning and their applications within medicine. The position is part of an ERC Advanced Grant focused on developing decision support for the emergency room. The work will be done in close collaboration with our partner Professor Thomas Schön who leads the Beijer Laboratory for Artificial Intelligence. We share offices and our groups have been collaborating for quite some time.

The postdoctoral position will intensify our work on developing and analyzing methods in machine learning and their application within medicine. The methodological focus will be on deep learning and its combination with probabilistic models. The medical application involves work on extracting knowledge from large-scale ECG data sets and a possible collaboration with an existing postdoc working on models trained on large databases with electronic health records. The aim there is to be able to investigate the use of these models for decision support and the position can also include work on decision algorithms. Technical keywords for the position include: probabilistic models, deep learning, Bayesian inference, possibly also large language models and Bayesian inference and decision making algorithms. The position might also include teaching, maximum 20 %.

Today’s society is dependent on infrastructure such as the electricity grid, communication networks or transport infrastructure. Thus, it is crucial that such critial infrastructure is protected against sabotage both physically – and in conjunction with digitalisation of infrastructure – digitally. In this project, we investigate the use of IoT (internet of things)-based solutions to mitigate sabotage and intrusion in critical infrastructure.

At the department of Electrical Engineering you will find a stimulating and international work environment with many interesting projects. We collaborate with Swedish companies as well as the public sector. We are looking forward to your application!

Read more about our benefits and what it is like to work at Uppsala University

We are looking for a postdoctoral fellow to be stationed at the SuperADAM instrument at ILL, Grenoble. SuperADAM is the only fully Swedish owned and operated neutron instrument. It is a high-resolution polarized neutron reflectometer suited for magnetic, hard condensed matter and soft matter, as well as life science investigations. The duties of the successful candidate include the support of users on the instrument, to conduct his/her own research, as well as to work with the continued development and upgrade of the instrument. Besides functioning as a beam line scientist, the postdoctoral fellow is expected to develop his/her research, within the areas soft matter, magnetism or similar, which will be performed both at ILL and the three partner universities (Uppsala, Lund and Linköping). The research direction is mostly determined by the expertise and interests of the candidates, but experience of neutron scattering of interest for Swedish users of SuperADAM is presupposed. This research should ideally build on and expand existing collaborations between the ILL and the three partner Universities, and thereby exploit capabilities in Grenoble, (e.g. the partnership for soft condensed matter ( http://www.epn-campus.eu/users/partnership-for-soft-condensed-matter-pscm/) and/or in Sweden, (e.g. thin film deposition and x-ray reflectivity characterization). An interest in the use of magnetic reference layers, as well as off-specular scattering, are examples of possible strength areas that utilize the capacity of the instrument.

The project aims to develop spatio-temporal models that can capture the complex interactions between biodiversity and environmental variables obtained from different layers of remote sensing information. We are looking for a person with a machine learning or data-driven systems modelling background and an interest in working on the subject of biodiversity modeling. Prior knowledge of work with spatial data or biodiversity is not required, however, familiarity with any of these fields is an advantage. The position is jointly with Tobias Andermann who leads the Biodiversity Data Lab at the Department of Organismal Biology here at Uppsala University. The successful candidate will spend 3-4 days per week in the Department of Information Technology (with Zachariah and Schön) and 1-2 days per week at the Department of Organismal Biology (with Andermann). Both departments are located on the same campus.

The postdoctoral position involves developing and analyzing methods in data-driven modelling and their application within biodiversity. The work carried out during the employment will form an important contribution towards implementing solutions for evaluating land for its biodiversity value and potential. This is a crucial step towards combating the global biodiversity crisis, as it enables governments and the industry to make sustainable and long-term biodiversity-positive investments.

We are currently looking for a researcher to work with a European project in accelerator development for a large-scale neutrino physics project, the ESS neutrino Super-Beam (ESSnuSB). It is based on the use of the particle accelerator facility for the European Spallation Source (ESS), currently being built in Lund, Sweden. The main objective of the ESSnuSB project is to measure charge-parity violation in leptons by studying and comparing the oscillations of neutrinos and anti-neutrinos, respectively, with the purpose of explaining how matter could remain in the Universe following the global annihilation between the matter and antimatter created in the Big Bang. To achieve this, we need to expand the accelerator complex at ESS by adding an accumulator ring, where the pulses from the ESS linac are compressed. The compressed pulses will be sent to a target where the neutrino super-beam is formed. The neutrino oscillation parameters will be studied in a large detector, located about 360 km from the source. In addition, we are working on yet another addition: a nuSTORM facility (neutrinos from stored muons), which includes a muon storage ring that would be used for generating a neutrino beam for neutrino cross-section measurements. The design of the muon storage ring is particularly challenging due to the fact that the muon beam is large and has a large energy spread. We need to find a design that allows for storing enough muons to achieve the goals of the experiment. The successful candidate will be involved in the work with designing and evaluating the muon storage ring as well as with other aspects of the ESSnuSB accelerator complex, in accordance with the interest and background of the applicant.

The postdoc will together with other team members design a racetrack muon storage ring, including the injection system. The work will involve beam optics and dynamics simulations using multi-particle tracking software. It may also include assessing the technical feasibility of certain subsystems. Since the project is organized in a European consortium it will involve collaborating with other researchers in Uppsala and throughout Europe, and will involve traveling to partners and accelerator facilities. Regular oral and written reporting are also part of the duties.

The research project concerns high entropy perovskites as proton conducting fuel cells materials. The research focusses on how the materials’ properties are affected by chemical composition and crystal structure. For example, how the chemical composition affects vacancy formation and proton conduction. More specifically, the project will involve the synthesis, structural characterisation and property measurements of new high entropy perovskites for applications as proton conductors for solid oxide fuel cells.

We are looking for a postdoctoral fellow with a strong background in software development, or software developer with a strong interest in science. You will join a new project, within which applied statistics and information theory is used to quantify the information content of neutron reflectivity datasets. Using this, we are able to optimize the design of experiments and to make previously impossible experiments possible, as well as to run existing experiments faster and better.

In a facility where a typical experiment lasts few days, costs tens of thousands of pounds/Euros and takes 6+ months to apply for, any improvements to the experiment are of large value. The effort will be based on an existing code-base we have developed to design optimal thin film structures for a given purpose. These structures will be fabricated by other members of the collaboration and measured using a variety of methods including neutron reflectivity experiments. Participation and collaboration with all other parts of the project is strongly encouraged and if the candidate chooses, they can participate in the large-scale facility experiments.

The code-base is released as an open-source project, with an emphasis on sustainable software engineering (https://github.com/jfkcooper/HOGBEN) and has two journal articles published.  Significant development of the capabilities of the code-base is required. These will include improvements to the experimental design code, as well as improving the data analysis, applying Bayesian methods for extracting parameter uncertainties and model selection. The developments will allow the entire collaboration to move forward, suggesting optimal materials systems to be investigated and designing experiments for the other nodes of the project.

The Ion Physics group within the Department of Physics and Astronomy investigates advanced materials for applications in fusion energy, smart windows, hydrogen storage & nanoelectronics in particular using beams of swift ions to link structure and composition on a true atomistic scale with physical properties and macroscopic functionality. The group also performs fundamental investigations of the interaction of ions in matter to obtain a better understanding of the underlying physics and improved methods. These methods permit to determine concentrations and depth profiles of atoms and molecules in a material with very high accuracy for samples from biological, environmental and technological contexts. They can also be used to tailor material properties such as crystallinity or local chemical composition. A 5 MV tandem accelerator, a 350 kV high current ion implanter and a Low-Energy Ion Scattering System form the experimental platform.

Uppsala University hereby declares a Postdoctoral researcher position, at the Department of Physics and Astronomy, to be open for application. A successful applicant is expected to work in basic and applied research within ion physics targeting materials related questions. The candidate is expected to employ keV and MeV ion beams as both analytical tool and means for materials modification. One focus area will be the nuclear microprobe system for measurements of the chemical composition with high spatial resolution. Engagement in developing advanced data analysis is expected. Applied research conducted mainly for ultra-thin film systems of relevance in electronics, optics, for hard coatings and in related interdisciplinary projects can be part of the working duties. The work will be of primarily experimental character.

Technological advances in molecular staining and cell imaging have resulted in a multitude of spatio-temporal cell imaging data. These data hold rich information about how cells act and interact. In this research project, we are developing mathematical and probabilistic models that quantify cell actions and cell-to-cell interactions from dynamic point patterns (where points represent cell coordinates) that are extracted from imaging data.

The postdoctoral researcher’s main task will be to develop Bayesian inference methods and computational pipelines designed to estimate mathematical models from dynamic point pattern data. Model inference will mainly be done using a probabilistic programming framework, such as Stan.

This position is part of a joint project on secure federated learning funded by the Swedish Agency for Innovation Systems (Vinnova) and led by Scaleout Systems AB together with Uppsala University. The postdoctoral researcher will be jointly supervised by Associate Prof. André Teixeira (Uppsala University) and Salman Toor (CTO at Scaleout, Associate Prof. at Uppsala University).

In this project, our focus will be on security and privacy-enhancing techniques for federated machine learning. The approach is centered around developing new theories and methodologies to achieve secure aggregation of federated machine learning models. The first goal here is to better understand how to algorithmically handle late and sampling-based model updates in practice in a way that allows for scalability yet introduces minimal model bias. In particular, we are interested in understanding how client sampling, model partitioning, and aggregation strategies affect and can be integrated into formal security analysis. From this new understanding, we aim to co-design the training process and the architecture and aggregation strategies in order to ensure model integrity with high probability in adversarial contexts.

Our research group specializes in the development of porous materials for applications such as gas separation (greenhouse gases), water treatment, catalysis, and drug delivery. We have strong competence in the synthesis and optimization of a wide range of porous materials, including porous oxides, zeolites, metal-organic frameworks (MOFs), etc.

This project is primarily focused on the environmental applications of porous materials such as MOFs. Specific application areas include separation and removal of environmental pollutants such as greenhouse gases, PFAS or VOCs. Synthesis and optimisation of MOFs for these as well as other applications fall within the scope of this project.

The Department of Immunology, Genetics and Pathology at Uppsala University has a broad research profile with strong research groups focused on cancer, autoimmune and genetic diseases. A fundamental idea at the department is to stimulate translational research and thereby closer interactions between medical research and health care. Research is presently conducted in the following areas: cancer precision medicine, cancer immunotherapy, genomics and neurobiology, molecular tools and functional genomics, neuro-oncology and neurodegeneration and vascular biology. Department activities are also integrated with the units for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including Master Programmes, at the Faculty of Medicine, and at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 500 million, out of which more than half is made up of external funding. The staff amounts to approximately 345 employees, out of which 100 are PhD-students, and there are in total more than 700 affiliated people. Feel free to read more about the department’s activities here: www.igp.uu.se