15 Postdoctoral Fellowship at Uppsala University, Sweden

In this project, the selected candidate will join us in conducting research in statistical learning and system identification research, developing data-driven methods to learn signals and systems from data. There will be a focus on developing robust methods with mathematical guarantees, focusing on stability, statistical and optimization considerations. We will work in applications to cardiology and electrophysiology. The exact details of the research project are decided in a dialogue between the postdoctoral researcher and the supervisor.

Next generation of networked cyber-physical  systems will support a number of application domains e.g. connected autonomous vehicular networks and collaborative robotics in smart factories. With the advent of massive machine-to-machine communication and IoT networks, huge volumes of data can be collected and processed with low latency through edge computing facilities.  Distributed machine learning enables cross-device collaborative learning without exchanging raw data, ensuring privacy and reducing communication cost. Learning over wireless networks poses significant challenges due to limited communication bandwidth and channel variability, limited computational resources at the IoT devices, the heterogeneous nature of distributed data, and also randomly time-varying network topologies. In this project, the aim is to design and analyze fast, low-complexity communication-efficient distributed learning and optimization algorithms that are adaptive to the constraints posed by the underlying wireless networks. The nature of this project is multi-disciplinary, requiring tools from distributed optimization and control, wireless communications and networks, signal processing, statistical machine learning and random matrix theory. This project will advance the state-of-the-art in distributed learning over wireless networks, and also contribute to design guidelines for practical learning algorithms.

We are looking for a new colleague in our research group on nuclear safeguards. Apply for the position as a postdoc and join us!

The research conducted at the Department of Physics and Astronomy encompasses a wide range of physics topics, distributed over nine divisions. The department is located in the Ångström laboratory and employs nearly 400 people, 100 of whom are doctoral students. It offers a broad physics curriculum to undergraduate and graduate students, participation in nationally and internationally leading projects for researchers, and opportunities for partnership with industry and various outreach activities. Read more on Department of Physics and Astronomy.

Within the division of applied nuclear physics at the Department of physics and astronomy, research is conducted in nuclear fission and safeguards. The research is focused on applications such as i) verification of nuclear material from today’s existing nuclear reactors, ii) verification of nuclear material from future nuclear energy systems, and iii) development of analysis methodologies using for instance machine learning approaches.

We are looking for an ambitious and motivated postdoc in quantum matter theory for a project on the effects of quantum metric on the properties of matter and ordered phases, especially superconductivity. The project will focus on materials with real space inhomogeneity, such as disorder, aperiodic crystalline arrangements, and moiré patterns. The project will involve both numerical simulations and analytical work. The postdoc candidate is expected work both independently and in collaboration with other group members and external collaborators.

The research project will focus on developing lithium-based solid-state batteries with polymer electrolytes and composite electrolytes. The project will entail implementing solid electrolytes into cells and investigating their electrochemical performance. Emphasis will be given to characterize interphases within the composite electrolyte components, towards a high voltage cobalt-free cathode and lithium metal anode.

The candidate will conduct research in the area of PDEs and its applications. The candidate is expected to collaborate with other group members.

The project concerns modelling of electric vechiles, both passenger cars and heavy duty vehicles, and the interconnection between battery ageing, pack design and the vehicle system. The load on the electric vechile battery pack and the design of the battery pack will affect its ageing, which in turn depends on cell chemistry, cell placement in the pack, cooling, etc. The project aim is to model battery ageing from realistic user scenarios and pack design, coupled to system level model of the vehicle. The research will be carried out in collaboration with vehicle manufacturers and Linköping University, within the framework of the Swedish Electromobility Centre.

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. Supervision of master thesis and PhD students may be involved. Collaboration with other universities and industry will be necessary for the project. The research will primarily involve physical modelling of Li-ion batteries through finite element methods and electric-electrochemical modelling of vehicle batteries.

We are looking for a Postdoctoral researcher with excellent credentials and strong motivation to identify and solve scientific problems. The employee will work in a project that aims to understand structural and mechanistic aspects of how bacterial and fungal self-splicing ribozymes acquire their catalytic 3D structures. Tasks include general RNA-based molecular biology techniques (cloning, mutagenesis, in vitro transcription), RNA purification, biochemical and biophysical characterization (electrophoresis, MALLS, mass photometry), and RNA structural biology (crystallography, cryoEM).

Digitalization in healthcare has accelerated, particularly due to the COVID-19 pandemic, which has increased the use of connected health solutions for mental health care. In Sweden, where mental illness is rising, these connected mental health solutions present both opportunities and challenges for healthcare professionals. However, research on their impact on the work environment remains limited.

We are seeking a postdoctoral researcher for our project, “Connected Mental Health Care (ConnectMe): Opportunities and Challenges for a Flexible Working Life.” This project focuses on exploring how digital mental health services, especially video conferencing, influence the work environment for healthcare professionals.

As a postdoc in this project, you will employ both qualitative and quantitative research methods, including interviews, surveys, and Delphi studies, to collect and analyze data. Your work will help us understand how digital work environments affect healthcare professionals and develop strategies to improve these environments. You will collaborate closely with our interdisciplinary research team and help develop recommendations for designing and implementing digital healthcare services that support a sustainable work environment. Your research will involve qualitative and quantitative methods, and you will play a key role in disseminating results through publications and presentations at scientific conferences. The role also includes research administration, participation in project meetings, and up to 20% teaching within the Department’s course offerings.

We encourage all interested applicants to apply, even if their experience does not perfectly match the project’s subject. We review all applications carefully and seek candidates who can contribute to the project’s goals.

Are you interested in working with xx, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a xx position at Uppsala University.

(Describe the recruiting department/division. Begin with a short general presentation of the faculty/division/department/corresponding and continue with a presentation of the closest working group and workplace, what is unique for working here. Describe why it is attractive to work here, remember attractive employer. Where are we now/what are we developing? Work environment, flexibility, leadership, development opportunities, benefits, etc.)

Research focuses on the mineralogy and geochemistry of hydrothermally altered rock suites from a range of volcanoes (e.g. Canary Islands, Indonesia, Iceland, central and south America). The postdoctor will contribute to the building of our laboratory, where high-temperature simulations of alteration processes will take place. Additionally, as a member of the “RottnRock” team, the postdoctor will collaborate closely with other project PIs and members based at the GFZ German Research Centre for Geosciences, Université de Strasbourg, and University College Dublin.

You will work and develop research within several projects that use several different computational methods, including AI, to understand how drugs and drug targets work in the body in terms of pharmacological and toxicological aspects. The projects concern several different diseases such as mental illness, cancer and disorders in metabolism and eating behaviour. The work includes scientific presentation of results and conclusions from the studies in scientific articles and writing grant applications. 

Som postdoktor kommer din arbetsplats att vara placerad vid Epihubben. Projektets tre huvudsakliga syften är att (1) utforska sambandet mellan metaboliter och proteiner med fysisk inaktivitet, fetma, typ 2-diabetes och cancer; (2) identifiera orsakssamband som kopplar fysisk inaktivitet, fetma och typ 2-diabetes till cancer; och (3) utvärdera metaboliternas och proteinernas relativa bidrag till orsakssambandet. Data från storskaliga svenska kohortstudier kommer att analyseras med hjälp av banbrytande metoder inom maskininlärning och kausal inferens för att ge grundläggande och nya insikter i biologin bakom cancerincidens, förbättrad förutsägelse av cancerrisk och potentiella mål för cancerprevention.