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

Institute for Mathematics
Remuneration: EG 13  TV-L 
ID: 9026WE10
Start of employment: 1 May 2026
Application deadline: 7 April 2026
Scope: full time, fixed-term employment for 4 years 

The Chair Computational Mathematics is one of five research groups at TU Hamburg's Institute of Mathematics. We specialize in the development, implementation and analysis of efficient numerical algorithms for differential equations. Our methods are applied in a wide range of applications, from geophysical fluid dynamics to chemical process engineering. Of particular interest is the development of algorithms that help to better utilize high-performance computing systems and the integration of machine learning with traditional numerics.

The advertised position is "open topic" but needs to align with existing research activity at the Chair for Computational Mathematics. As part of your cover letter, please provide a paragraph where you explain which direction of research at the Chair you would like to pursue and how this aligns with your previous experience. One possible topic would be the combination of scientific machine learning and numerical algorithms, particularly in the context of inverse problems with PDE-constraints but any suggestion that aligns with the Chair's expertise will be considered. The main criterion is the strength of the applicant's scientific background.

YOUR TASKS

• To develop, test and analyse new numerical algorithms for differential equations
  
• To present your results at scientific conferences
  
• To publish your results in the form of peer-reviewed scientific publications
  
• To teach exercise groups for students in engineering programs (approximately 4 contact hours per week during teaching time)
  

YOUR PROFILE

Requirements

• Completed scientific university studies (masters degree or equivalent), in particular in the subject in Computational Mathematics, Applied Mathematics, Computational Science or a related subject

Desired knowledge and personal skills

• Excellent knowledge of numerical mathematics, ideally with a focus on numerical methods for differential equations
  
• Experience with programming in a language like Python, Matlab, Julia, C/C++, Fortran
  
• Fluent in spoken and written English
• Experience in other relevant areas like scientific machine learning, parallel programming, inverse problems etc is considered a plus
  

OUR OFFER

• Close supervision and strong support for PhD completion
• A job in an interesting, friendly and appreciative working environment
• Possibility of mobile working 
• Good public transport connections
• Internal offers for health promotion and special conditions in further gyms
  

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. Daniel Ruprecht, Tel.-Nr. +49 40 30601 3279,
Email: daniel.ruprecht@tuhh.de.