Research Associate (PostDoc) with recurring tasks

The Intelligent Networks and Management of Distributed Systems Research Group (INET) is looking to hire a senior research assistant to work on future communication networks and future applications offered through these networks. The INET research group investigates networked systems that are self-* (i.e., self-optimizing, self-repairing, self-configuring). We are particularly interested in automated and data-driven approaches to design, optimize, and verify networked and distributed systems.

Traditionally and still today, networks are operated in a rather static and conservative manner. However, it is known that in principle, a more dynamic network operation can greatly improve the efficiency of networks: empirical studies show that communication traffic and resource popularity feature much structure, i.e., are bursty and skewed. More dynamic network operations are also useful to support adaptive policy changes, service relocations, or emerging “self-driving networks". This project is motivated by the desire to leverage the benefits of more flexible network operations for the specific application case of machine learning networks.

Main responsibilities:

• Lay the theoretical and algorithmic foundations of more adaptive machine learning networks.
• Investigate the limitations of fault-tolerant decentralized machine learning algorithms.
• Devise exact and approximate algorithms for federated learning and prove their correctness analytically.
• Fundraising of third-party funds as well as direction, organization and conducting research of the research projects.
• Communication with research partners in the research projects. Writing intermediate and final research reports. Communication of the research results to funding organizations and to industrial partners.
• Teaching the courses “Algorithms for Distributed Systems” and “Algorithms for Networked Systems” offered by the INET group. Conception of new courses considering new developments in computer science and in regard to the module catalogue of Faculty IV.
• Supervising master and bachelor theses. Supervising of PhD students of the INET research group.
• Organization of teaching of the research group.
• Dissemination of research results: describe the results in scientific publications and posters; presentation of research results at international conferences and workshops and/or presentation to industry partners.
• Organization of international scientific symposia and workshops.

We are looking for a highly motivated Postdoc with a strong expertise and interest in reliable distributed systems to improve the efficiency of networks.

• Successfully completed university degree (Master, Diplom or equivalent) and PhD in computer science, computer engineering or a related field is required
• Proven research track record in distributed and communication networks, as well as machine learning is required.
• Postdoctoral research experience with the ability to carry out research independently is required.
• Ability to secure external funding is desirable.
• Experience as a thesis supervisor (Bachelor/Master/Doctorate) is desirable.
• Teaching experience at university level, with positive evaluation is required.
• The ability to teach in German and/or in English is required; willingness to acquire the respective missing language skills

Please send your application with the reference number and the usual documents as your Curriculum Vitae, your diploma including the performance record and other documents by email to Prof. Dr. Stefan Schmid at jobs@inet.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.