Academic Member; f​/m​/d no

University of Potsdam, Fakulty of Science

Organisation/Company University of Potsdam, Fakulty of Science Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Final date to receive applications 22 Mar 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 30 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

The Collaborative Research Center 1294 "Data Assimilation – The Seamless Integration of Data and Models" (CRC 1294) at the University of Potsdam invites applications for the following doctoral position, limited to June 30, 2029, to be filled as soon as possible
:

Academic Staff Member (f/m/d)

. 311/2026

The successful candidate will work 30 hours per week (75 %). The position is classified within remuneration group 13 of the collective wage agreement among the German federal states (“Tarifvertrag für den öffentlichen Dienst der Länder” – TV‑L). The fixed term of employment is in accordance with Section 2 subsection 1 of the German Act on Fixed-Term Employment Contracts in Science and Academia (Wissenschaftszeitvertragsgesetz or WissZeitVG).

If necessary, an extension is possible if personal and legal requirements are met.

Your Field of Work:

CRC 1294 at the University of Potsdam brings together interdisciplinary research on data assimilation spanning mathematics, computer science, physics, cognitive neuroscience, geosciences, and biosciences in theory, computation, and diverse applications. The doctoral position is part of project A04:
Nonlinear statistical inverse problems with random observations and mainly supervised by Dr Bernhard Stankewitz. The ideal candidate will work on the theoretical analysis of computational aspects of Bayesian methods for nonlinear inverse problems. The focus will be on establishing statistical guarantees for computationally efficient algorithms and their implementation.

The Scope of Your Responsibilities:

• Research as part of project A04 under the supervision of Dr Bernhard Stankewitz including scientific publications and participations at international conferences.
• Scientific cooperation and interdisciplinary work with other projects of CRC 1294.
• Regular participation in scientific events of CRC 1294.

Further academic qualification (doctorate) is possible. At least one-third of working hours is available for in-depth academic work.

Your

Qualifications:

We are seeking motivated applicants with an excellent university degree in Mathematics with a focus on Mathematical Statistics or Stochastics, very good programming skills (Python, Julia, C or similar), and proficiency in written and spoken English. Applicants should be interested in theoretical and computational aspects of non-parametric statistics, including efficient implementation of algorithms, e.g. using GPU acceleration. Knowledge in inverse problems, partial differential equations and numerical analysis is helpful but not a prerequisite.

What We Offer:

• Make the most of the various continuing education and networking opportunities offered by the University of Potsdam to refine your subject‑specific and interdisciplinary competencies for professional as well as personal growth.
• All campuses have good transport connections. You can receive a monthly subsidy for the public transport job ticket and use our campus bicycles.
• Benefit from a company pension scheme, a special annual payment, and capital‑forming benefits.
• Take advantage of the various offers from our Occupational Health Management unit as well as the Academic Sports Center.
• To improve employees’ work‑life balance, the University of Potsdam offers flexible working hours and a defined share of remote working hours (e.g. work from home). You have 30 vacation days per year (with a 5‑day week) and are also exempt from work on December 24 and 31.

For further information about this position, please contact Dr Andreas Pregla by email at:
a or telephone: 0331 / 977 – 203137.

Your Application:

Please send us your application including the . …