Stellenticket Technische Hochschule Wildau

When software agents run a fleet of datacenters on their own, every action must be Today’s tools can move services between different computing sites, but they do not understand the power grid, and they struggle to move running AI jobs safely. In this project, you build the missing grid-aware layer for the orchestration of computing resources and AI workloads along the edge-cloud continuum.
You will create middleware that sits on top of existing cloud and edge frameworks and can move stateful AI workloads across the edge-to-cloud continuum, or switch between AI model variants in place, in response to grid signals, while keeping security policies in force during every move.

• Collaboration in a research project (Grid-Aware AI Workload Mobility for the Computing Continuum - AEGIS) focusing on Grid-Aware AI Workload Orchestration
• Build middleware for moving AI workloads across the edge-cloud continuum
• Develop mechanisms for stateful migration of AI workloads and for in-place switching between AI model configurations at runtime
• Expose one middleware API for workload-mobility commands, with security policy enforced during migration
• Supervision of student employees and student theses within the research project
• Opportunity to pursue a doctorate

What you will deliver:

• Middleware that moves workloads smoothly across different testbeds
• A transition engine that completes changes within defined time budgets
• A performance characterization report

The host:
The Chair of Software and Business Engineering has been established at TU Berlin in 2025, and conducts research at the intersection of distributed systems and business engineering. A particular research focus is on distributed machine learning, edge computing, and distributed trust.

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.

• ORCID
• Google Scholar
• LinkedIn
• DBLP

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

• 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.

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

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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.