Facts

Number of employees
1.500
Category
Postdoc
Location
Germany, Saxony, Görlitz
Area of responsibility
Academia and research, Research (academic), Physics
Start date (earliest)
01.03.2026
Duration
2 years
Full/Part-time
full-time
Remuneration
TVöD Bund
Remote work
Partially possible
Working language and expected level
  • English ( Fluent in speech and writing )
  • German ( Very good command of the language )
Homepage
https://www.hzdr.de
Career website
https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76351

Requirements

Field of study
Natural sciences and mathematics, Computer science, Mathematics, Physics

Apply

Application deadline
28.01.2026
Reference number
2026/14
Application documents
cover letter, CV, diplomas/transcripts, etc.
Online
https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76351

Postdoc (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling.

Helm­holtz-Zen­trum Dres­den-Ros­sen­dorf e.V.

With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.

The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research.

The Department of Department AI4Quantum – Machine Learning for Quantum Simulation and Computing is looking for a

Tasks

  • Independent development and analysis of mathematical and numerical methods for partial differential equations
  • Design and implementation of advanced algorithms, including variational and optimization-based approaches
  • Investigation and adaptation of mathematical methods in hybrid classical–quantum computing contexts
  • Documentation, dissemination of results, and contribution to scientific publications and project coordination

Requirements

  • Completed university studies (PhD) in the field of Physics, Computer Science, (Applied) Mathematics, Computational Modeling and Simulation or related field
  • Experiences with advanced numerical analysis and mathematical modeling of partial differential equations
  • Knowledge of quantum algorithms or willingness to extend mathematical methods to quantum computing contexts
  • Mathematical foundations of variational methods and optimization
  • Algorithm development for large-scale scientific computing
  • Experience with scientific software development and performance-oriented computing
  • Ability to conduct independent scientific research and take methodological responsibility
  • Strong analytical and conceptual thinking skills
  • Experience in interdisciplinary collaboration and scientific discussion
  • Clear and precise communication of complex scientific concepts
  • Willingness to contribute to coordination, mentoring, and collaborative project activities
  • Programming proficiency in Python and optionally in one compiled language
  • Experience with scientific computing libraries and numerical software frameworks
  • Ability to work with version control systems and collaborative software development tools
  • Excellent command of English (written and spoken)

What we offer

  • A vibrant research community in an open, diverse and international work environment
  • Scientific excellence and extensive professional networking opportunities
  • Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
  • We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
  • Numerous company health management offerings
  • Employee discounts with well-known providers via the platform Corporate Benefits
  • An employer subsidy for the "Deutschland-Ticket Jobticket"

How to apply

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76351

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