Research Assistant (m/f/d) for investigation and analysis of the high-temperature fatigue damag[...]

Research Assistant (m/f/d)

Investigation and analysis of the high-temperature fatigue damage of cast iron.

Location: Berlin. Department: Fachbereich 5.5 – Materialmodellierung. Contract: Temporary until 30.04.2028. Full‑time or part‑time.

Responsibilities

Collaborate on a research project to predict temporal crack propagation in cast‑iron alloy components under thermomechanical fatigue (TMF) using the finite element method (FEM) and combine experimental investigations with FE simulations of damage behaviour at macroscopic and microscopic levels in collaboration with the Institute of Mechanics and Fluid Dynamics at the TU Bergakademie Freiberg.

Specific tasks include

• Conducting cyclic crack propagation and deformation tests at high temperatures on a heat‑resistant cast iron material.
• Mathematical evaluation of the tests and implementation and identification of a combined deformation and damage model for high‑temperature fatigue.
• Performing FE simulations of damage development at the microstructure and component levels.
• Exchanging information and presenting the results with and to the project partners.
• Publishing the results in peer‑reviewed journals.

Qualifications

• Completed academic university degree (diploma or master’s) with above‑average grades in Physical Engineering, Mechanical Engineering, Mechanics, Physics, or a closely related field.
• Doctoral degree (Ph D) is considered an advantage.
• Excellent knowledge of finite element methods, material mechanics, and numerical methods for engineers.
• Good knowledge of experimental techniques and control engineering.
• Strong programming skills, particularly in Python and Fortran 90.
• Knowledge of fracture mechanics is an asset.
• Excellent command of both English and German.
• Good communication and information behaviour, goal‑oriented and structured way of working, initiative/commitment, ability to work in a team and willingness to cooperate and to learn.

Benefits

• 30 vacation days with a 5‑day week.
• Work in national and international networks with universities, research institutions, and industrial companies.
• Attractive and modern working environment with excellent infrastructure and state‑of‑the‑art scientific equipment (laboratories, BAM Data Store, high‑performance computing, etc.).
• A responsible, interesting, and varied job in a professional and collegial environment.
• Equal opportunities and diversity.
• Attractive location.
• Additional Opportunities
• Access to high‑quality continuing education 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 to develop innovative solutions with experts.
• Targeted acquisition of skills in key technologies for laboratory digitalization—modern programming paradigms, connection to the electronic laboratory notebook, and development of metadata formats and ontologies—through practical learning formats such as workshops, online courses, and collaborative training.
• Opportunity to actively participate in shaping BAM digitization projects and to contribute own ideas for digital innovations.
• Equal Opportunity Statement

BAM promotes professional equality between women and men.

We therefore particularly welcome applications from women.

At the same time, we strive to reflect social diversity.

Every application is welcome, regardless of gender, cultural or social background, religion, ideology or sexual identity.

In addition, BAM has set itself the goal of promoting the professional participation of people with severe disabilities.

The fulfillment of the job requirements is considered on an individual basis.

Severely disabled persons or persons of equal status will be given preferential consideration if they are equally qualified.

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