Research Assistant

Supervision:

Main supervisor: Prof. Dr. Stefan Schulte - Head of the Chair of Software and Business Engineering, TU Berlin. He works on distributed systems and edge AI.

Co-supervisors: Ingo Friese - Deutsche Telekom (T-Labs) Johan Eker - Lund University

Your profile

• Very good successfully completed university degree (Master, Diplom or equivalent) (or completion no later than the date the contract is signed) in Computer Science, Informatics, Data Science, Business Informatics, or a related discipline is expected
• The ability to develop methods, concepts, and models, as well as their realization and evaluation and the willingness to contribute to scientific projects
• In-depth interest in scientific problems and the motivation for independent and goal-oriented research
• Knowledge in distributed systems
• Good scientific communication and writing skills
• Good communication and teamwork skills, curiosity, initiative desirable
• Supervision skills for student workers desirable
• Good German and/or English language skills are required; willingness to acquire any missing language skills
• The ability to articulate business requirements to project partners and translate them into technical and functional requirements is desirable
• Experience working in collaborative projects with external partners is desirable

You will spend two research visits with partners in the network:

• Deutsche Telekom – T-Labs (Germany) - 3 months from around October 2028 (industry), with Ingo Friese: test workload-migration performance on Deutsche Telekom’s edge infrastructure.

• Lund University (Lund, Sweden) - 4 months from around January 2029 (academic), with Johan Eker: combine the workload-mobility middleware with the intent-driven facilities control. Before you apply, please familiarise yourself with the following requirements for the Marie Skłodowska-Curie Actions (MSCA eligibility rules):

• No doctoral degree: You must not yet hold a PhD at the date of recruitment

• Mobility rule: You must not have lived or carried out your main activity (work or study) in the country of your host institution for more than 12 months in the 36 months prior to your recruitment. Short stays, such as holidays, do not count.

• All nationalities welcome: These positions are open to applicants of any nationality.

How to apply

What to submit:

• A CV (maximum 3 pages)
• A motivation letter (maximum 1 page): say which position you want and why
• Your BSc and MSc transcripts
• Optional but encouraged: a link to a code repository, or a one-page summary of a project or thesis
• Contact details of two referees

Please apply to: Prof. Dr. Stefan Schulte, schulte@tu-berlin.de / jenny.schuster@tu-berlin.de

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.

Facts

Published: 02.10.2026 Number of employees: ca. 7000 Category: Research assistant Job location: Germany, Berlin, Charlottenburg Area of responsibility: Academia and research Start date (earliest): Earliest possible Duration: for 36 months Full/Part-time: full-time; part-time employment may be possible Remuneration: Salary grade 13 TV-L Berliner Hochschulen Homepage: http://www.tu-berlin.de

Requirements

Qualification: Master, Diplom or equivalent

Contact

Reference number: IV-387/26 Contact person: Prof. Dr. Schulte

Apply

Application deadline: 16.10.2026 Reference number: IV-387/26 By email: schulte@tu-berlin.de