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FRFraunhofer-Gesellschaft

RESEARCH ASSISTANT WISSENSCHAFTLICHE:N MITARBEITER:IN im Bereich Planungsprobleme / Reinforcement Learning(m/w/x)

Wachtberg
Full-time, Part-timeWith Home Office

Entwicklung und Implementierung von Deep Reinforcement Learning Algorithmen für graphenbasierte Planungsprobleme bei der Fraunhofer-Gesellschaft. Kenntnisse in Deep Reinforcement Learning und Machine Learning erforderlich. Flexible Arbeitszeiten und mobiles Arbeiten.

Requirements

  • Kenntnisse in Deep Reinforcement Learning und Machine Learning
  • Optimierung (Linear Programming, Integer Programming, Routing) von Vorteil
  • Erfahrung mit Python-Bibliotheken für Deep Learning (numpy, pandas, matplotlib, pytorch)
  • Erfahrung mit Bibliotheken für Graphen (networkx, pytorch_geometric), Reinforcement Learning (stable-baselines, torchrl) oder Optimierung (pyomo, ortools) von Vorteil

Tasks

  • Deep Reinforcement Learning algorithms for complex graph-based planning problems design
  • Deep Reinforcement Learning algorithms for complex graph-based planning problems implement
  • Optimization modeling techniques apply
  • Heuristic algorithms develop
  • Training pipelines develop
  • Visualizations develop
  • Interactive demonstrators develop to showcase model results

Education

  • Currently in higher educationOR
  • Bachelor's degreeOR
  • Master's degree

Languages

  • GermanBusiness Fluent

Tools & Technologies

  • Deep Reinforcement Learning
  • Machine Learning
  • Optimization
  • Linear Programming
  • Integer Programming
  • Routing
  • Python
  • numpy
  • pandas
  • matplotlib
  • pytorch
  • networkx
  • pytorch_geometric
  • stable-baselines
  • torchrl
  • pyomo
  • ortools

Benefits

Flexible Working

  • Flexible Arbeitszeiten
  • Mobiles Arbeiten

Learning & Development

  • Weiterbildungsmaßnahmen

Retirement Plans

  • Betriebliche Altersvorsorge

Public Transport Subsidies

  • Vergünstigtes Deutschland-Jobticket
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