PhD - Machine Learning and Game Theory

  • Robert-Bosch-Campus 1, 71272 Renningen, Germany
  • Full-time
  • Legal Entity: Robert Bosch GmbH

Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

A combination of machine learning and multiagent aspects lies at the core of various methods that aim to address major societal challenges, and their underlying theories: from highly automated driving over shared mobility and urban congestion pricing to foundations in data-driven game-theoretic mechanism design.

The goal of this PhD thesis is to distill promising research questions from these areas, and answer them:

  • Help shape the future: You develop new models (model classes with good inductive biases for given data sets/tasks), algorithms, and potentially theory (prove mathematical theorems).
  • Create something new: A possible roadmap could contain the following steps: after preprocessing urban traffic data, you develop a machine learning algorithm (using, e.g., time series analysis, recurrent neural nets) that forecasts traffic demand, then extend it to an inverse game-theoretic model that also elicits traffic participants' preferences, and eventually transfer it to also address interventional decision making tasks like congestion pricing/city tolls. Possible topics also include: data-driven mechanism design, adversarily-robust machine learning.
  • Integrated implementation: You code and evaluate algorithms on relevant data sets and tasks.
  • Networked communication: You publish papers at a top-tier conferences (NIPS, ICML, AAMAS, UAI, etc.) and/or journals (JMLR etc.), develop a substantial understanding of the relevant existing work and keep close contact with the academic community.
  • Experience cooperation: The Benefit from being part of one of the globally leading AI industry research labs - the Bosch Center for Artificial Intelligence (BCAI). Interact and learn from experts and fellow students in diverse fields of AI. Perform exclusively academic research with excellence (i.e. no industry project duties).

Qualifications

  • Education: Excellent degree (Master) in mathematics, computer science, physics or similar
  • Personality: Good communication and team work skills
  • Working Practice: Structured, independently and inquisitive
  • Experience and Knowledge: Very good math skills, good coding skills, familiar with machine learning; ideally: background in game theory and/or economics and prior experience in scientific writing
  • Enthusiasm: A strong passion for doing top-level research, and a genuine interest in multi-agent/economic/social systems and how they can be improved using machine learning
  • Languages: Very good in English written and spoken

Additional Information

The following publication is an example of our research in this direction: https://arxiv.org/pdf/1803.06247.pdf.

Please submit all relevant documents (incl. curriculum vitae, cover letter, certificates).

The final PhD topic is subject to your university. Duration: 3 years
                                                                                
Need support during your application?
Kevin Heiner (Human Resources)
+49 711 811 12223

Need further information about the job?
Philipp Geiger (Functional Department)
+49 711 811 92277

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