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Offer 388 out of 557 from 22/09/21, 14:16

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Tech­ni­sche Uni­ver­sität Ber­lin - Faculty IV - Institute of Telecommunication Systems / internet Architecture and Management (INET)

Research Assistant - salary grade E13 TV-L Berliner Hochschulen -

part-time employment may be possible

Working field:

The Chair "Internet Architecture and Management" aims at the investigation of future communication networks and future applications offered through these networks. Our vision is that networked systems should become self-* (i.e., self-optimizing, self-repairing, self-configuring). Accordingly, we are currently particularly interested in automated and data-driven approaches to design, optimize, and verify networked systems.

Traditionally and still today, communication 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 but without sacrificing the reliability guarantees of more conservative operations. In fact, we believe that a more adaptive network operation can even improve the dependability of a network. We are particularly interested in the algorithmic opportunities and challenges introduced by programmable dataplanes and Software Definded Networks (SDN). In your research you will

  • study the design of self-adjusting algorithms and optimization frameworks exploiting programmability in the network,
  • lay the theoretical and algorithmic foundations of more adaptive communication networks leveraging opportunities of emerging technologies such as programmable data planes,
  • develop algorithms and prove their performance and correctness analytically.
  • Dissemination of research results: describe the results in scientific publications and posters; presentation of research results on international conferences and workshops or presentation to industry partners.
  • PhD thesis preparation is possible.

Requirements:

We are looking for a highly motivated and bright PhD student with a strong expertise and interest in developing novel and provably good algorithms as well as optimization methodologies, to improve the efficiency of communication networks in general, and network algorithms in particular.

  • Successfully completed university degree (Master, Diplom or equivalent) in computer science, computer engineering or a related field
  • Excellent knowledge and interest in algorithms, esp. network algorithms, graph algorithms, distributed algorithms and online algorithms is required.
  • Competence in optimization (e.g. linear programming) is required.
  • Solid knowledge of networks, especially programmable networks and Software-Defined Networks (SDN) is required.
  • Excellent command of written and spoken English is required. High ability to express yourself both, orally and in writing is required.
  • Knowledge of formal methods and automation theory is a plus.
  • Basic experience in research methods and academic writing are a plus.
  • Ability to work in a team of international researchers and good communications skills are desired.
  • Basic German language skills or willingness to learn German are an advantage.

How to apply:

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 guaranee 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/ or quick access 214041.

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.

Technische Universität Berlin - Der Präsident -, Fakultät IV, Institut für Telekommunikationssysteme, FG Internet Architecture and Management (INET), Prof. Dr. Stefan Schmid, Sekr. EN 18, Einsteinufer 17, 10587 Berlin