Research Associate in Nonlinear Dynamics, TU Dresden, Germany

Postdoc in Germany

Research Associate in Nonlinear Dynamics: Dresden University of Technology is seeking a highly motivated Research Associate for basic research in the nonlinear dynamics and statistical physics of complex systems and networks. The position is part of the Faculty of Physics at the Institute of Theoretical Physics, under the Chair of Network Dynamics, affiliated with the Center for Advancing Electronics Dresden (cfaed).

Research Associate (m/f/x) in Nonlinear Dynamics and Statistical Physics of Complex Systems

Designation:

Research Associate (m/f/x)

Table:

DetailsInformation
Research AreaNonlinear dynamics and statistical physics of complex systems
LocationTU Dresden, Germany
SalaryAccording to salary group E 13 TV-L
Employment DurationLimited to three years
Employment Start DateJuly 1, 2025, or later
Application DeadlineApril 30, 2025

Eligibility/Qualification:

  • 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.
  • Ability to teach introductory material in applied mathematics, statistical physics, networks, and complex systems.
  • Excellent command of the English language.
  • High self-motivation with an independent, target- and solution-driven work attitude.
  • Ideally, experience in collaborative research.

Job Description:

The successful candidate will:

  • Conduct mathematical, theoretical, and applied research on collective dynamical phenomena of complex systems and networks, focusing on strongly externally driven systems.
  • Apply findings to fields in physics, engineering, and biology.
  • Develop a computational toolbox for predicting distributed responses and tipping points in dynamical systems, utilizing computer algebra and advanced numerical techniques.
  • Support the Chair in grant proposals and collaborative research efforts.

How to Apply:

Interested candidates should submit an application in English only, including:

  • Motivation letter
  • CV with publication list
  • Names and contact details of two references
  • Copies of degree certificates
  • Transcripts of grades
  • Proof of English language skills

Applications should be sent as a single PDF file via the TUD SecureMail Portal here or emailed to manuela.merkel@tu-dresden.de, quoting the reference number “ND 2/25” in the subject header. Alternatively, applications can be mailed to:

TU Dresden
Professur für Netzwerk-Dynamik
Herrn Prof. Marc Timme
Helmholtzstr. 10
01069 Dresden, Germany

Last Date to Apply:

April 30, 2025

Additional Information:

Dresden University of Technology is committed to diversity and encourages applications from all qualified individuals, including women and candidates with disabilities.

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