Research Associate / Postdoc

Project overview

Research Associate / Postdoc (m/f/d) Faculty of Electrical Engineering, Professorship for Data Engineering

At the Helmut Schmidt University/University of the German Armed Forces Hamburg (HSU/UniBw H), Faculty of Electrical Engineering, Professorship for Data Engineering (Prof. Dr. Maleshkova), the position of a

Research Associate

(m/f/d) (Pay group 14 Collective Agreement for the Public Service TVoD; 39 hours per week)

is to be filled as soon as possible, limited to a duration of 2 years.

The professorship's research lies at the intersection of machine learning, formal knowledge representation, and intelligent system engineering. The focus is on developing methods and frameworks that combine data-driven learning methods with structured domain knowledge, formal models, and semantic representations. This includes, in particular, ontologies and knowledge graphs, knowledge-based and hybrid learning methods, and physics-informed approaches.

A central research area is neuro-symbolic Artificial Intelligence (AI), where deep learning methods are combined with formal representation and reasoning methods to incorporate structured background knowledge and logical constraints into learning systems and achieve explainable results. Furthermore, multi-agent systems are investigated in which autonomous AI agents cooperate, communicate, and reason, for applications in scientific discovery, data management pipelines, and complex engineering workflows, among others.

Area of Responsibility:

• Postdoc -
• Addressing scientific questions as well as conceptualizing, methodologically designing, and further developing research activities in the areas of Data Engineering, Machine Learning, and Artificial Intelligence
• Developing and researching innovative methods and systems for the integration, processing, and analysis of heterogeneous data, especially using knowledge graphs, semantic technologies, and neuro-symbolic approaches
• Providing technical guidance and advice to scientists as well as coordinating, managing content, and ensuring the quality of scientific research work
• Presenting and publishing scientific results at national and international conferences as well as participating in the conception, application, technical coordination, and management of scientific research projects
• Participating in the preparation, organization, and execution of examinations as well as coordinating and supervising the research and doctoral projects of doctoral candidates, including support in the creation of scientific publications
• Scientific collaboration in research projects as well as support in the execution and further development of the research activities of the Professorship for Data Engineering
• Contribution to teaching amounting to fundamentally 3 trimester hours per week
• Opportunity for further scientific qualification (e.g., Habilitation)
• Handling general administrative tasks and academic activities in academic self-governance

Requirements

Additionally Desired:

What Counts for You:

For technical questions, please contact Ms. Univ.-Prof. Dr. Maleshkova by email: .

The employment relationship is governed by the provisions of the Collective Agreement for the Public Service (TVoD) in conjunction with the Act on Fixed-Term Scientific Employment Contracts (WissZeitVG). The activities generally correspond to pay group 14. Classification up to pay group 14 TVoD is made taking into account Section 12 TVoD with regard to the duties that are not only temporarily to be performed and the fulfillment of personal and/or collective agreement requirements (duty characteristics).

Part-time employment is possible.

The Bundeswehr promotes equal opportunities for women and men and therefore particularly welcomes applications from women.

In accordance with the Social Code Book IX and the Act on the Equalization of Opportunities for Persons with Disabilities, we expressly welcome applications from severely disabled people; an individual assessment will be carried out regarding the fulfillment of the application requirements.

The Bundeswehr supports the goals of the National Integration Plan and welcomes applications from people with a migration background.

Further information about the university and the professorship can be found at:

and

Please send your application with the usual documents exclusively in electronic form (PDF file), stating the reference number ET-1826, by November 29, 2026, to:

.

Note:

Information on data protection within the scope of the application process can be found on the website under the section "University - Career - Data Protection Information".

Without stating the reference number, your application cannot be considered and will be deleted immediately for data protection reasons.

• A university degree (Diplom univ. or Master) in Computer Science, Data Engineering, Applied Mathematics, or comparable fields of study, completed with very good results
• A doctorate (PhD) in Computer Science, Data Engineering, Applied Mathematics, or a related field, completed with magna cum laude or summa cum laude
• You possess good foreign language skills in English and are willing to expand them through further training
• Strong interest in scientific work and the ability to teach
• Knowledge in the areas of Data Engineering, Data Management, Data Science, Machine Learning, and Artificial Intelligence
• Profound knowledge in the processing and integration of heterogeneous data, in modern data-driven and knowledge-based methods, and in the conception and implementation of complex data and AI systems
• Capital-forming benefits
• Annual special payment
• Company pension scheme
• Flexible working hours
• DeutschlandJobTicket with employer subsidy, if the necessary requirements are met
• Possibility of using childcare at a daycare center near campus, if the necessary requirements are met
• You benefit from targeted personnel development and a comprehensive range of further and vocational training.
• Affordable catering in the campus canteen with three meals a day
• Opportunity to participate in the Corporate Benefits program
• You have the opportunity to participate in company health promotion offers (More information can be found at: ).
• Free parking on campus
• Possibility to use the Bundeswehr's own car sharing service (More information can be found at: )

Project details

• Start: flexible
• Location: Jenfeld, Hamburg, Germany, DE
• Languages: German