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Research Associate
(m/f/d) /
Wissenschaftliche*r Mitarbeiter*in (m/w/d)

Institute of Mathematics
Remuneration EG 13  TV-L 
Start of employment May 1st 2025
Application deadline February 25th 2025
Scope full time, fixed term until April 2029



The successful applicant will work on the combination of "classical" numerical algorithms for differential equations with techniques from machine learning with the aim of improving computational efficiency on parallel computing systems.


YOUR TASKS

  • To develop efficient numerical algorithms to solve differential equations on parallel computers
  • To implement and benchmark new algorithms on TUHH's Linux cluster
  • To integrate techniques from machine learning like Neural Operators into numerical algorithms
  • To present your results at scientific conferences and in the form of scientific publications
  • To teach exercise groups for students in engineering programs (approximately four contact hour per week during teaching time)


YOUR PROFILE

Requirements

  • Completed scientific university studies, in particular in the subject Applied Mathematics, Computational Science and Engineering

Required knowledge and personal skills

  • Excellent knowledge of numerical mathematics
  • Experience with machine learning and/or numerical methods for differential equations is considered a plus
  • Experience with programming in a language like Python, Matlab, Julia, Fortran, C/C++
  • Fluent in spoken and written English (B2/C1 GER)
  • Experience in parallel programming is considered a plus

    OUR OFFER

    • a job in an interesting, friendly and appreciative working environment
    • possibility of mobile working


    At the heart of TU Hamburg’s research, teaching and transfer of technology is the guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives for excellence in all its research fields. Interdisciplinarity, innovation, regionality and internationality are binding principles in our actions.

    With currently around 8.000 students, 110 professors and 1.650 employees, the TU Hamburg is characterised by short decision-making processes and close cooperation between the board, the institutes, the deans of studies, the research areas and the administration. We identify ourselves with a modern leadership culture and cultivate appreciative interaction.


    For further information please contact Prof. Dr. Daniel Ruprecht, Tel.-Nr. +49 40 428 78 32 79, Email:
    daniel.ruprecht@tuhh.de




    We value diversity, therefore all applications are welcome, regardless of gender, gender identity, ethnic origin, nationality, age, religion and belief, disability, sexual orientation and identity or social background.

    The TUHH stands for equal opportunities as well as appreciative and respectful cooperation.

    Please send your complete application documents (cover letter, curriculum vitae in table form, proof ofcompleted training and/or university degree, job references or certificates of employment) via the online application system.

    Notice for severely disabled persons and people with equal status.


    Notice for graduates of foreign educational qualifications:
    Please submit proof of all obtained university degrees and, if available, the recognition of your educational qualifications in Germany (e.g. anabin excerpts and/or acknowledgement of previous employers).
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