Research Associate (m/f/d)

Our institute has a long standing track record developing AI methods. We are particularly interested in machine learning, robotics and navigation, image guidance, and planning. In a new project we will study world modeling for autonomous mobile robots. We plan to consider methods to handle uncertainty and reinforcement learning to realize navigation in dynamic environments, including in the field. The methods will be evaluated in different application scenarios using different robots.

YOUR TASKS

• Studying methods for world modeling in dynamic, real world scenarios
  
• Extending and evaluating mobile robotics platforms for autonomous navigation
  
• Systematic experimental evaluation, e.g., in the field or in a hospital
  
• Presentation of your results at top-tier international conferences and publication in high-ranking journals
  

YOUR PROFILE

Requirements

• Completed scientific university studies (masters degree with excellent grades or equivalent), in particular in the subject computer science or related fields e.g., engineering, applied math
  
  

Desired knowledge and personal skills 

• Very good programming skills, particularly in Python and C++
  
• Excellent knowledge of recent machine learning methods and frameworks as well as ROS
  
• Very good understanding of robotics, computer vision, and world modeling
  
• Excellent English language and scientific writing skills are required (at least C1), German is a plus
  

OUR OFFER

• Support for further academic qualification, including the opportunity to pursue a PhD 
• A fully paid research position 
• You will be part of an interdisciplinary team and collaborate with academic and clinical partners 
• You will work on state of the art AI methods with a meaningful purpose 
• We provide room to grow and to implement your ideas

At the heart of TU Hamburg’s research, teaching and transfer of technology is the guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives for excellence in all its research fields. Interdisciplinarity, innovation, regionality and internationality are binding principles in our actions.

With currently around 8.000 students, 110 professors and 1.650 employees, the TU Hamburg is characterised by short decision-making processes and close cooperation between the board, the institutes, the deans of studies, the research areas and the administration. We identify ourselves with a modern leadership culture and cultivate appreciative interaction.

For further information please contact Prof. Alexander Schlaefer, Tel.-Nr. +49 40 30601 3050, 
Email: schlaefer@tuhh.de.