Max Planck Institute for Dynamics and Self-Organization, Göttingen
Complex Systems Neurosciences Structural and Cell Biology
Type of Job
Scientific and Technical Assistance
Research Assistants (m/f/d) in Physics, Complex Systems & Neural Networks
Job offer from April 21, 2020
For the independent Max Planck Research Group of Dr. Viola Priesemann we seek to fill Research Assistants positions (m/f/d) (Wissenschaftliche und Studentische Hilfskräfte) in Physics, Complex Systems & Neural Networks.
The Max Planck Institute for Dynamics and Self-Organization at Göttingen, Germany, is an international research institute. It performs both experimental and theoretical fundamental scientific research and currently employs about 300 people.
We are looking for Research Assistants to join our team. We are investigating the spread of COVID-19 and address three central questions: How did past governmental measures impact the infection rate R? How will the case numbers develop under specific scenarios? What is the impact of specific social distancing measures on R? We have already developed an SIR model and use Bayesian inference to assess the central epidemiological parameters [1,2]. Our results are central in advising decision makers in politics and health care. We are a highly active and hard-working team, and work in close contact with clinicians, epidemiologists, and politicians. At the moment, we are all working from home – but on the long run we hope you can join us at the MPI in Göttingen. Women, like everyone else, are warmly encouraged to apply. Please check our github page and our prior work [1-3]. Applications are accepted any time, until the positions are filled; starting date is as soon as possible.
We are looking for excellent, enthusiastic and self-motivated students with strong programming skills to join our research team. You should hold or study towards a Bachelor´s (Honours) degree or comparable in the quantitative sciences, e.g. physics, mathematics, statistics, epidemiology, computer science or theoretical biology. The position requires a good background in modelling dynamical systems and/or statistical data analysis and inference. If you have a keen interest in COVID inference and modeling and if you are a creative, bright and independent mind, please send us your application. Please outline your programming skills, your past scientific achievements, any prior work you might have already done related to COVID-19 spread and a brief outline of the questions you are most interested in.
Fluency in both written and spoken English is required; German is an asset.
We are offering excellent working conditions in a highly international and interdisciplinary research environment.
We are offering an interesting and diversified job and the possibility to participate in a research project and a publication. The remuneration is in accordance with the guidelines for the promotion of young scientists of the MPG and currently amounts to 12.52 €/hour (with degree) and 10.77 €/hour (without degree).
The working hours are by arrangement and amount to up to 38 hours per month (the exact scope of work will be agreed upon in the interview). The starting date is flexible, but should start as soon as possible.
The Max-Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
To apply, please follow this link with the reference no MPIDS-SHK006:
and submit a CV, a motivation letter (requirements below), a transcript of records (university and high school), a list of publications (if any) and contacts of up to three referees.
Please consider these questions in your motivation letter:
- Did you already do some modelling on COVID-19? If yes, please describe briefly.
- What research projects/questions about COVID-19 spread do you have in mind?
- What programming languages do you speak? How fluent are you in them?
- Link to your scientific web page or google.scholar profile, if available.
- Briefly describe your background in statistics (if any).
- Briefly describe your background in dynamical systems (if any).
- Briefly describe your background in scientific modelling (if any).
- Briefly describe your background in science communication (if any).
Written applications will not be sent back.
 https://arxiv.org/abs/2004.01105 (under review)
 https://github.com/Priesemann-Group/covid19_inference_forecast (our code - and announcements of regular online meetings)
 Three central past publications of our team:
Wilting & Priesemann, Nature Communications (2018)
Zierenberg, Wilting & Priesemann, Physical Review X (2018)
Cramer et al., Nature Communications, in press
Dr. Viola Priesemann
should you have further questions.
Max Planck Institute for Dynamics and Self-Organization
Dr. Viola Priesemann
Am Faßberg 17