Erstellt am 30. Juli 2026
Student Assistant (m/w/d) at the Chair of Numerical Mathematics (M2), CIT
Technische Universität München
München, Bavaria 80333, Germany
Vollzeit
Reference: 789765415
Student Assistant (m/w/d) at the Chair of Numerical Mathematics (M2), CIT
29.07.2026, Student assistants, internships, student research projects
The position would be for up to 20 hours/week (to be discussed), starting 1 October 2026 for a duration of 3 months, with the possibility of extension.
Typical responsibilities you can expect:
- Mathematical derivation, analysis, and comparison of models, methods, and simulation approaches
- Formal proofs, e.g., for convergence, existence, and uniqueness of solutions
- Fast prototyping of new ideas in individual code
- Implementation of new models, methods, and algorithms into an existing framework, with a focus on efficiency
- Design and realization of relevant simulation pipelines: from real-world data to mathematically and (e.g., clinically) applicable results
Requirements - What you bring:
- Enrolment as a Master's student in Mathematics, Computational Science and Engineering (CSE), Informatics, or a related field
- Solid programming skills in Python
- Knowledge of the fundamentals of functional analysis
- Knowledge of the finite element method
- Basic understanding of mathematical modeling with and/or partial differential equations
- A team-oriented, structured, and organized work approach
- Enthusiasm for interdisciplinary projects
Desirable - Optional, but helpful:
- Programming experience in C/C++
- Experience with finite element frameworks such as Firedrake and FEniCS
- Knowledge of German
If we have piqued your interest, please send us your application via email, referencing the position.
We would like to get the following documents in one single PDF:
- Current CV
- Current transcript of records
We accept applications until 11 September 2026.
Please do not submit original documents! We kindly inform you that submitted documents will not be returned after the completion of the application process, but will be destroyed in compliance with data protection regulations.
Please note: When applying for a post at the Technical University of Munich (TUM), you will be providing personal data. Please refer to our privacy notice in accordance with Article 13 of the General Data Protection Regulation (GDPR) regarding the collection and processing of personal data in connection with your application:
http://go.tum.de/554159
By submitting your application, you confirm that you have read and understood TUM's privacy notice.
Kontakt: [email protected]
29.07.2026, Student assistants, internships, student research projects
The position would be for up to 20 hours/week (to be discussed), starting 1 October 2026 for a duration of 3 months, with the possibility of extension.
Typical responsibilities you can expect:
- Mathematical derivation, analysis, and comparison of models, methods, and simulation approaches
- Formal proofs, e.g., for convergence, existence, and uniqueness of solutions
- Fast prototyping of new ideas in individual code
- Implementation of new models, methods, and algorithms into an existing framework, with a focus on efficiency
- Design and realization of relevant simulation pipelines: from real-world data to mathematically and (e.g., clinically) applicable results
Requirements - What you bring:
- Enrolment as a Master's student in Mathematics, Computational Science and Engineering (CSE), Informatics, or a related field
- Solid programming skills in Python
- Knowledge of the fundamentals of functional analysis
- Knowledge of the finite element method
- Basic understanding of mathematical modeling with and/or partial differential equations
- A team-oriented, structured, and organized work approach
- Enthusiasm for interdisciplinary projects
Desirable - Optional, but helpful:
- Programming experience in C/C++
- Experience with finite element frameworks such as Firedrake and FEniCS
- Knowledge of German
If we have piqued your interest, please send us your application via email, referencing the position.
We would like to get the following documents in one single PDF:
- Current CV
- Current transcript of records
We accept applications until 11 September 2026.
Please do not submit original documents! We kindly inform you that submitted documents will not be returned after the completion of the application process, but will be destroyed in compliance with data protection regulations.
Please note: When applying for a post at the Technical University of Munich (TUM), you will be providing personal data. Please refer to our privacy notice in accordance with Article 13 of the General Data Protection Regulation (GDPR) regarding the collection and processing of personal data in connection with your application:
http://go.tum.de/554159
By submitting your application, you confirm that you have read and understood TUM's privacy notice.
Kontakt: [email protected]
