City:  München
Date:  Apr 28, 2022

Senior Research Scientist (PhD position) in Trustworthy AI

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30,000 employees work with an annual research budget of 2.9 billion euros. 

The Fraunhofer Institute for Cognitive Systems IKS conducts applied research into the topics of tomorrow: artificial intelligence, cognitive systems and intelligent software architectures for autonomous systems. Our primary focus is safety-critical applications in the areas of Industry 4.0 and automotive, as well as mobile machines and commercial vehicles. We thus develop dependable software technologies for people. For instance, we examine how artificial intelligence can be validated so that it can be utilized even in autonomous vehicles, human-robot interaction and medical instruments. That means we’re are paving the way for a dependable digital world.

 

What you will do

You conduct cutting-edge AI research with special focus on reliable and safe AI. This included subjects of deep learning for time-series data analysis, reinforcement learning, causal inference, decision support and treatment effect analysis, out of distribution generalization, and similar topics. Our main focus of application is in healthcare, clinical diagnosis and treatment of patients. 

 

If you are interested in the mathematics of ML, you have the opportunity to develop novel methodologies to address challenges in this field.

If you are interested in applications of ML, you can join us to develop novel ML solutions for real-world problems.

 

What you bring to the table

  • M.Sc. degree in computer science, mathematics, bioinformatics, physics  or related fields (final grade better than 2.0)
  • Strong background in ML (graphical models, deep learning), statistics, and preferably causal inference methods
  • Experience in working with time-series data, preferably clinical data
  • Programming expertise with Python, R and SQL
  • Proven skill in scientific writing
  • Excellent interpersonal skills

 

What you can expect

  • You will work in a large team of AI researchers.
  • You will work independently and in collaboration with multidisciplinary teams.
  • Opportunity to start your doctorate studies at Technical University of Munich.
  • Opportunity to mentor students at the graduate and undergraduate level
  • A 100% paid full-position and the possibility to work flexible

 

The position is initially limited to 2 years. The weekly working time is 39 hours. The position can also be filled on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD).

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Interested? Apply online now. We look forward to getting to know you!

 

Together with your application, please submit a cover letter (include your AI experiences), your updated CV, and your master and bachelor transcripts and grades. 

Please note that incomplete applications will not be processed. 

 

For scientific questions, please contact: 

Dr. Narges Ahmidi, narges.ahmidi@iks.fraunhofer.de 

 

For application questions, please contact our colleagues from HR:  

recruiting@iks.fraunhofer.de

 

Fraunhofer Institute for Cognitive Systems IKS 

www.iks.fraunhofer.de 

 

Requisition Number: 5963                Application Deadline:

 


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