Join the Cluster of Excellence “” and contribute to one of Europe’s most exciting research initiatives. Collaborate with a dynamic, interdisciplinary team that combines science, sustainability, and technology to create a better future. Help shape the next generation of sustainable materials inspired by nature’s most powerful resource: water.
For the Institute for for 1 August 2026 we are looking for a
Research Associate (m/f/d) -
Wissenschaftlicher Mitarbeiterin
YOUR CONTRIBUTIONS
- Develop hybrid machine-learned force fields (MLFFs) combined with polarizable force fields to enable accurate, computationally efficient electrochemical simulations
- Implement advanced charge equilibration (QEq) methods to incorporate long-range electrostatic effects and adapt atomic partial charges dynamically based on local chemical environments
- Conduct high-fidelity molecular dynamics simulations informed by DFT and MLFFs to investigate the atomistic mechanisms of water splitting, diffusion in confinement, and transport properties at electrochemical interfaces
- Collaborate closely with BlueMat partners in imaging, modeling, and fluid transport to integrate your findings into the broader cluster program
- Share your findings through publications and engage with the research community and the public
YOUR PROFILE
- Completed scientific university studies in Computational Science with a natural sciences specialization or in Physics, Chemistry or Materials Science with a specialization in scientific computing
- Curiosity and teamwork skills for working in interdisciplinary teams
- Very good English required (at least B2/C1 level according to CEFR) – German is not mandatory
- Substantial knowledge of programming languages, including C++ and Python and its application to solve natural science problems
- Experienced in high-performance computing and software development with strong programming skills
Desired knowledge and personal skills
- Proficient in using common atomistic simulation software for performing molecular dynamics or ab-initio calculations; experience with machine learning-based force fields is advantageous
- Familiarity with object-oriented programming and parallelization methods, such as MPI or CUDA
- Scientific qualification with the opportunity to pursue a PhD in a leading research cluster
- Access to BlueMat Academy: training workshops, German language support, mentoring, and career development
- Participation in international conferences, research stays, and collaborative networks
- Flexible working conditions, 30 vacation days, family-friendly policies
- Access to on-campus fitness facilities and health promotion programs
Inclusive excellence drives better science. We actively seek female & international researchers from all walks of life, valuing non-linear careers and diverse perspectives across cultures, disciplines, and identities. We explicitly welcome applications from persons with as defined in Section 2 of the German Social Code, Book IX (SGB IX).
The Hamburg University of Technology stands for as well as
Please submit your complete application documents (cover letter, CV, degree certificates) via the online application system, quoting the vacancy ID 13226WBMM29, by 30 June 2026.
