Data Engineer

About The Company

Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg (HSU / UniBw H) is a university of the German Federal Armed Forces. The Faculty of Electrical Engineering’s Professorship of Data Engineering, led by Professor Dr. Maleshkova, conducts research at the intersection of machine learning, formal knowledge representation, and intelligent systems engineering.

Its work combines data-driven learning with domain knowledge, formal models, and semantic representations, including ontologies, knowledge graphs, knowledge-based and hybrid learning, and physics-informed methods. Research also explores neurosymbolic artificial intelligence and multi-agent systems for scientific discovery, data management pipelines, and complex engineering workflows.

About The Role

HSU / UniBw H is seeking a Postdoctoral Research Associate in Data Engineering for a fixed-term, two-year appointment, starting as soon as possible. The position is full-time at 39 hours per week and is classified at TVöD pay grade E14, subject to the applicable requirements. Part-time employment may be possible.

The successful candidate will develop and advance research in data engineering, machine learning, and artificial intelligence, contributing to the Professorship’s research projects and academic activities. The role includes a teaching commitment of generally 3.0 trimester hours per week and offers the opportunity to pursue further academic qualification, such as a habilitation.

Qualifications

Applicants must hold an excellent university degree, such as a Diplom or Master’s, in computer science, data engineering, applied mathematics, or a comparable discipline. A doctorate in computer science, data engineering, applied mathematics, or a related field, awarded with magna cum laude or summa cum laude, is also required.

We particularly welcome candidates with strong English skills and a commitment to developing them through professional training. Applicants should demonstrate a strong interest in academic research and the ability to teach. Relevant expertise may include data engineering, data management, data science, machine learning, artificial intelligence, heterogeneous data processing and integration, semantic technologies, knowledge graphs, and the design and implementation of complex data and AI systems.

Responsibilities

Conduct research and develop scientific questions, methods, and research activities in data engineering, machine learning, and artificial intelligence. Design and investigate innovative methods and systems for integrating, processing, and analyzing heterogeneous data, with particular attention to knowledge graphs, semantic technologies, and neurosymbolic approaches.

Provide academic guidance and advice to researchers, coordinate and oversee research work, and support its quality assurance. Present findings at national and international conferences and publish results in appropriate scientific outlets. Contribute to the development, preparation, application, coordination, and leadership of research projects.

Support doctoral researchers in planning and carrying out research, coordinate their research and doctoral projects, and assist with scientific publications. Contribute to teaching, examination preparation and administration, and the ongoing development of the Professorship’s research activities. The position also includes general administrative duties and participation in academic self-governance.

Benefits

Employees may receive a special annual payment, capital-forming benefits, and occupational pension provision. The university offers flexible working hours, targeted professional development, and a broad range of training opportunities. Subject to eligibility, benefits may include a subsidized DeutschlandJobTicket and access to childcare at a campus-near daycare facility.

Additional offerings include affordable meals at the campus cafeteria, participation in a corporate benefits program, workplace health promotion, free campus parking, and potential use of the German Armed Forces’ car-sharing service.

Applications must be submitted electronically as a PDF, quoting reference ET-1826, by November 29, 2026. The employment relationship is governed by the German public service collective agreement (TVöD) and the Academic Fixed-Term Contract Act (WissZeitVG). For information about the position, contact Professor Dr. Maleshkova by email.

Equal Opportunity The German Federal Armed Forces promotes professional equality between women and men and particularly welcomes applications from women. Applications from people with severe disabilities are expressly encouraged and will be assessed individually against the position requirements. Applications from people with a migration background are also welcome.