Postdoc Theoretical Biophysics Sars-Cov2

Delft; Delft; On-site; EUR 36,000 - 48,000; Full time

Job summary

TU Delft is seeking a Postdoc in Theoretical Biophysics focused on Sars-Cov2 RNA packaging. The role involves developing theoretical models using stochastic methods, MD simulations, and Bayesian inference in close collaboration with experimental teams.

We welcome proposals to steer the project direction, with a 1-year contract and 36-38 hours per week, at TU Delft's Faculty of Applied Sciences.

Qualifications

• Masters in Physics, Computer Science, Nanobiology, Mathematics, Bioengineering or a related discipline.
• PhD in Physics, Applied Science, or a related discipline.
• Experience in statistical physics, stochastic processes and/or data analysis methods.
• Strong interest in engaging and collaborating with experimental colleagues.

Responsibilities

• Theoretical study of how Sars-Cov2 genomic RNA is packaged, focusing on selective packaging of genomic RNA by the N-protein.
• Apply stochastic modelling, MD simulation, and Bayesian inference to the problem.
• Collaborate with experimental colleagues and other group members on joint projects.
• Contribute to shaping the direction of the research project.

Skills

Statistical physics

Stochastic processes

Data analysis

Collaborations with experimentalists

Education

Masters in physics / CS / nanobiology / bioengineering

PhD in physics / applied science

Job description

Postdoc Theoretical Biophysics Sars-Cov2

How is the Sars-Covid genomic RNA packaged?

The Sars-Covid virus genomic RNA encodes a small number of structural proteins, one of which is the N-protein. This N-protein plays a strong role in packaging the genomic RNA; yet, how this packaging process works and how the N-protein manages to selectively pack genomic RNA is not well-understood. We will study this selective packaging theoretically, in tight collaboration with experimental groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative projects with other group members and our experimental colleagues. A desire to develop the direction of your project is very welcome!

Job requirements

• Masters in Physics, Computer Science, Nanobiology, Mathematics, Bioengineering or a related discipline
• PhD in Physics, Applied Science, or a related discipline
• Experience in statistical physics, stochastic processes and/or data analysis methods
• Strong interest in engaging and collaborating with experimental colleagues

TU Delft (Delft University of Technology)

Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty Applied Sciences

With more than 1,100 employees, including 150 pioneering principal investigators, as well as a population of about 3,600 passionate students, the Faculty of Applied Sciences is an inspiring scientific ecosystem. Focusing on key enabling technologies, such as quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems of the 21st century. To that end, we educate innovative students in broad Bachelor's and specialistMaster'sprogrammes with a strong researchcomponent. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and Engineering Physics. We are also training the next generation of high school teachers.

Clickhere to go to the website of the Faculty of Applied Sciences.

Conditions of employment

• Duration of contract is 1 year. Temporary.
• A job of 36-38 hours per week.
• Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
• An excellent pension scheme via the ABP.
• The possibility to compile an individual employment package every year.
• Discount with health insurers on supplemental packages.
• Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget.
• Plenty of opportunities for education, training and courses.
• Partially paid parental leave
• Attention for working healthy and energetically with the vitality program.

Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. .

Additional information

If you would like more information about this vacancy or the selection procedure, please contact Marianne Bauer, via [e-mail] .

Please note:

• You can apply online. We will not process applications sent by email and/or post.
• As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest.You can find more information about this assessment on our website aboutknowledge security.
• Please do not contact us for unsolicited services.

Faculty/Department: Faculty of Applied Sciences

FTE: 1,0

Submission is possible until: 27 Aug 2026