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Career Opportunities: PostDoc Learned Data Compression (83677)

Roles & Responsibilities

  • Ph.D. in Electrical and Computer Engineering, Computer Science or related program
  • Background in Information Theory, ideally with significant prior publications in the field
  • Specialization in Channel Simulation, Source Coding, Polarization
  • Experience with scientific Python programming

Requirements:

  • Conception of novel stochastic source coding techniques based on channel simulation
  • Development of numerical Python code for evaluation
  • Optimization and refinement of these techniques in collaboration with a team of engineers
  • Publication of research papers and patents

Job description

 

Future. Discover. Together.

Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications. We are a world leader in researching mobile and optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation!

 

Be part of change

  • Conception of novel stochastic source coding techniques based on channel simulation
  • Development of numerical Python code for evaluation
  • Optimization and refinement of these techniques in collaboration with a team of engineers
  • Collaboration on publicly funded projects
  • Publication of research papers and patents
  • Travel to international conferences, participation in the academic community
  • Advising of student researchers

 

What you contribute

  • Ph.D. in Electrical and Computer Engineering, Computer Science or related program
  • Background in Information Theory, ideally with significant prior publications in the field
  • Specialization in Channel Simulation, Source Coding, Polarization
  • Experience with scientific Python programming
  • Native or very good English communication skills

 

What we offer

  • Fascinating challenges in a scientific and entrepreneurial setting
  • Attractive salary package according to TVöD with 30 vacation days, pension scheme (VBL), wealth creation benefits (VWL)
  • Modern and excellently equipped workspace in a central location
  • Great and cooperative working atmosphere in an international team
  • Flexible working hours
  • Opportunities to work from home
  • Extensive training-, health- and sports offers
  • Various employee discounts and discounted BVG ticket
  • Offers for families (parent-child office, emergency care, leisure activities, etc.)


The position is initially limited to 2 years. An extension is explicitly desired.

 

The weekly working time is 39 hours. This position is also available 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. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities.

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. 

 

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.
 

Contact: Jona Ballé

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI 

<a style="color: #555555;" href="http://​www.hhi.fraunhofer.de<input id="tor__fcustInstituteLinkRMK" type='hidden' value='27315' >​" target="_blank" rel="noopener">www.hhi.fraunhofer.de 

 

Requisition Number: 83677                Application Deadline: 04/04/2026

 

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