Research Associate Theoretical Physics (m/f/d)- Technische Universität Dresden

3 weeks ago, be among the first 25 applicants.

Get AI-powered advice on this job and access more exclusive features.

TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD, diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements, and productivity to the success of the whole institution.

At the Faculty of Physics, Institute of Theoretical Physics, the Chair of Network Dynamics (http://networkdynamics.info, Prof. Marc Timme), affiliated with the Center for Advancing Electronics Dresden (cfaed), offers a position as:

Research Associate (m/f/x)

on basic research on the nonlinear dynamics and statistical physics of complex systems and networks. (Subject to personal qualification, employees are remunerated according to salary group E 13 TV-L). Starting July 1, 2025 or later. The position is limited to three years. The employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD).

Activities and responsibilities:

• Mathematical, theoretical, and applied research on collective dynamical phenomena of complex systems and networks, focusing on strongly externally driven systems.
• Application to fields in physics, engineering, and biology.
• Developing a computational toolbox for predicting responses and tipping points in dynamical systems using computer algebra and advanced numerical techniques.
• Supporting the Chair in grant proposal development and establishing collaborative research.

Qualification profile:

• Outstanding university degree in Theoretical Physics or closely related fields.
• Experience in mathematical modeling, statistical physics, nonlinear dynamics, and stochastic processes.
• Advanced programming skills, ideally with computer algebra software.
• Experience in teaching applied mathematics, statistical physics, networks, and complex systems.
• Excellent command of English.
• High self-motivation and an independent, solution-oriented work attitude.
• Ideally, experience in collaborative research.