Research

vor 2 Wochen

Bielefeld, Deutschland Universität Bielefeld Vollzeit

**Zoom**

Größer

Kleiner
- The Faculty of Business Administration and Economics has the following job opening:

- Research Position - Deep Reinforcement Learning for Combinatorial Optimization
- ID:

- **Wiss23325**
- Start: 01.11.2023 or as soon as possible
- fulltime
- salary according to Remuneration level 13 TV-L
- fixed-term
- The Decision and Operation Technologies group researches methods for solving difficult, real-world optimization problems. We specialize in methods combining machine learning and optimization techniques and optimization problems in container logistics.- Your Tasks
- research in the area of operations research and data science as part of the DFG Project "Learning2Opt" (90 %)
- supervision of seminar papers and Bachelor and Masters theses (5 %)
- academic self-governance (5 %)

Employment is conducive to scientific qualification.
We offer
- salary according to Remuneration level 13 TV-L
- fixed-term (3 years) (- 2 (1) sentence 1 of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases)
- fulltime
- internal and external training opportunities
- variety of health, consulting and prevention services
- reconcilability of family and work
- job ticket for regional public transport network, good transport connection
- supplementary company pension
- collegial working environment
- open and pleasant working atmosphere
- exciting, varied tasks
- modern work environment with digital processes
- various offers (canteen, cafeteria, restaurants, Uni-Shop, ATM, etc.)
- Your Profile
We expect
- scientific academic university degree (Master or equivalent) in Computer Science, Information Systems, Data Science, Business/Economics or a related area
- experience with developing, implementing and adjusting deep neural networks (e. g., with PyTorch, Tensorflow, etc.)
- very good programming abilities (e. g., Python, C# or C/C++)
- independent, self-reliant and dedicated style of work
- strong organizational and coordination skills
- ability to cooperate and to work in a team
- Preferred experience and skills
- an accepted or submitted publication to a peer-reviewed scientific conference or journal
- Application Procedure

**Contact**
Prof. Dr. Kevin Tierney
- +49 521 106-3940
- **Postal Address**
Universität Bielefeld
- Fakultät für Wirtschaftswissenschaften
- Prof. Dr. Kevin Tierney
- Postfach 10 01 31
- 33501 Bielefeld- At Bielefeld University on request positions can be carried out with reduced working hours as long as this does not conflict with official needs.- open as PDF

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