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Bundesanstalt für Materialforschung und -prüfung

PhD in Mathematics, Scientific Computing, and Physics for Numerical Methods at BAM Bundesanstalt für Materialforschung und -prüfung in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Paid full-time PhD position on a temporary 36-month contract at salary group E 13 TVöD; part-time work is possible. The post is part of a DFG collaborative project and includes access to BAM Graduate Academy support, training, and networking.

Deadline

Expired

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Country

Germany

University

Bundesanstalt für Materialforschung und -prüfung

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Keywords

Computer Science
Mechanical Engineering
Materials Science
Mathematics
Non-destructive Testing
Computational Science
Wave Propagation
Multiphysics Simulation
Physics
Finite Element Analysi
Structural Dynamic

About this position

Bundesanstalt für Materialforschung und -prüfung (BAM) in Berlin, Germany is advertising a PhD student (m/f/d) position in mathematics, scientific computing, physics, or a closely related engineering discipline with a strong focus on numerical methods.

The project is part of a DFG collaborative project on assessing the reliability of non-destructive testing and structural health monitoring methods using ultrasound. The PhD work focuses on developing and validating a hybrid simulation-experiment approach, with emphasis on simulation methods based on the Scaled Boundary Finite Element Method (SBFEM) for modelling guided ultrasonic wave propagation in pipelines. The role also includes extending existing SBFEM implementations to coupled-field / multiphysics problems.

Applicants should hold a completed Master’s or Diplom degree in mathematics, applied mathematics, scientific computing, physics, or an engineering field with strong numerical-methods training. Required skills include expertise in numerical modelling of wave propagation and structural dynamics, and good programming ability in at least one scientific language such as Python, Matlab, or C++. Experience with Git is desirable. Helpful background includes wave propagation in solids, guided ultrasonic waves, acoustics, non-destructive testing, and prior exposure to SBFEM or related methods.

The position is full-time (100%), offered on a temporary 36-month contract, and paid according to E 13 TVöD. Part-time work is possible. BAM also highlights access to modern research infrastructure, high-performance computing, interdisciplinary training, and support from the BAM Graduate Academy.

Deadline: 2026-08-23. Apply online via the linked application portal, or submit by post to BAM’s HR department and quote Job-ID J000000183.

Funding details

Paid full-time PhD position on a temporary 36-month contract at salary group E 13 TVöD; part-time work is possible. The post is part of a DFG collaborative project and includes access to BAM Graduate Academy support, training, and networking.

What's required

A completed Master’s or Diplom degree in mathematics, applied mathematics, scientific computing, physics, or an engineering discipline with a strong focus on numerical methods is required. Applicants should have proven expertise in numerical methods for wave propagation and structural dynamics, good programming skills in at least one scientific language such as Python, Matlab, or C++, and preferably experience with Git. Desirable experience includes wave propagation in solids, guided ultrasonic waves, acoustics, non-destructive testing, and preliminary knowledge of SBFEM or related methods. The post also asks for willingness to supervise Bachelor’s and Master’s theses, strong initiative, teamwork, communication skills, and a structured, goal-oriented working style.

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