PhD student (m/f/d) in the field of mathematics, scientific computing, physics or an engineering discipline with a proven strong focus on numerical methods

Berlin
Division 8.4: Acoustic and Electromagnetic Methods
Science / Research
The working time is 100% (Part-time work is possible)
Temporary contract for 36 months
Kennziffer: J[contact details available in the full listing]
Salary group E 13 TVöD

Your responsibilities include

Doctorate as part of a DFG collaborative project aimed at assessing the reliability of non-destructive testing and structural health monitoring methods
The objective is to develop and validate a hybrid approach combining simulation and experiment to analyse the reliability (probability of detection) of non-destructive testing and structural health monitoring methods using ultrasound
The core of the PhD project is the development of simulation methods – primarily based on the Scaled Boundary Finite Element Method (SBFEM) – for modelling the propagation of guided ultrasonic waves in pipelines
The task includes the refinement of existing SBFEM implementations and their extension to coupled field problems (multiphysics simulation)
Collaboration within an interdisciplinary research team with external and internal partners

Your qualifications

A successfully completed academic degree (Master’s or Diplom) in the field of mathematics, applied mathematics, scientific computing, physics or an engineering discipline with a proven strong focus on numerical methods
Proven expertise in the development of numerical methods for modelling wave propagation and structural dynamics (e.g. FEM, semi-analytical methods)
Experience in one or more of the following areas is desirable: wave propagation in solids, guided ultrasonic waves, acoustics, non-destructive testing
Preliminary knowledge of SBFEM or related methods is an advantage
Good programming skills in at least one scientific programming language (e.g. Python, Matlab, C++) are essential; experience with version control (Git) is desirable
Willingness to supervise students (Bachelor’s and Master’s theses)
Strong initiative and a passion for developing innovative solutions at the interface between numerical methods and experimental work
Good communication and information behaviour, goal-oriented and structured way of working, initiative/commitment and ability to make decisions, ability to work in a team and willingness to cooperate, willingness to learn

Our Benefits

Attractive and modern working environment with excellent infrastructure and state-of-the-art scientific equipment (laboratories, BAM Data Store, high-performance computing, etc.).
Fair pay in accordance with union agreements
Work in national and international networks with universities, research institutions, and industrial companies
Comprehensive and interdisciplinary training and further education opportunities
30 vacation days with a 5-day week

We offer:

Professional and interdisciplinary support from the BAM Graduate Academy, including skills development and networking formats.
Access to high-quality continuing education opportunities and training on digitalization topics such as programming, research data management, AI applications, and machine computing in science.
Networking and exchange in interdisciplinary digitalization communities and at BAM digitalization events with the aim of developing innovative solutions with experts.

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PhD student (m/f/d) in the field of mathematics, scientific computing, physics or an engineering discipline with a proven strong focus on numerical methods

Bundesanstalt für Materialforschung und -prüfung (BAM)

Unter den Eichen 87, 12205 Berlin, Germany

PhD student (m/f/d) in the field of mathematics, scientific computing, physics or an engineering discipline with a proven strong focus on numerical methods

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PhD student (m/f/d) in the field of mathematics, scientific computing, physics or an engineering discipline with a proven strong focus on numerical methods

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Related Conferences

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PhD student (m/f/d) in the field of mathematics, scientific computing, physics or an engineering discipline with a proven strong focus on numerical methods

Bundesanstalt für Materialforschung und -prüfung (BAM)

Unter den Eichen 87, 12205 Berlin, Germany

PhD student (m/f/d) in the field of mathematics, scientific computing, physics or an engineering discipline with a proven strong focus on numerical methods

This is a Preview Listing…

Related Jobs - August 31, 2026

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3rd Global Event on Materials Science and Engineering

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