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Urgent! Masterthesis: Implementation of Core Operations for Gaussian Mixture Models in PyTorch Job | Fraunhofer

Masterthesis: Implementation of Core Operations for Gaussian Mixture Models in PyTorch



Job description


At the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, we transform cutting-edge scientific findings into technical innovations – contributing to shaping the future. 


 


Here’s how you’ll make a difference: 


Collaborative research centers (SFBs) are the Champions League of the DFG-funded projects (Deutsche Forschungsgemeinschaft).

They run for up to 12 years and bring together W3 university professors, postdocs, and PhD students.

You will contribute to - the Circular Factory, which explores how future production systems can seamlessly integrate linear and circular processes, enabling used products to be transformed into new generations.


 


What you will do



  • Design and implement core operations for Gaussian Mixture Models (GMMs), such as density evaluation, parameter updates, and likelihood computation.

  • Optimize the implementation for high-dimensional datasets using PyTorch, with attention to numerical stability and efficiency.

  • Develop unit tests and validation routines to ensure correctness of the implemented operations.

  • Benchmark your implementations against existing approaches and analyze performance on synthetic and real-world datasets.

  • Investigate potential applications of these core operations in adaptive manufacturing systems, e.g., for probabilistic modeling or simulation of production processes.


 


What you bring to the table



  • Enrollment in Mathematics, Computer Science, Data Science or a related discipline

  • Solid knowledge of Probability Theory, Linear Algebra, and Analysis

  • Experience with PyTorch; familiarity with probabilistic modeling and Gaussian Mixture Models , or other generative models is a plus

  • Strong programming skills in Python; experience with GitLab or other version-control systems is desirable

  • Interest in statistical learning, generative models, and high-performance computing

  • Curiosity, analytical thinking, and a problem-solving mindset (a little Google-Fu is always welcome!)


 


What you can expect



  • Central location: Only a few minutes' walk from KIT Campus South and very good public transport connections.

  • Co-authorship: Opportunity to be a co-author on resulting publications. 

  • Hands-on research projects: Collaboration with industry partners and application of research results in real-life scenarios.

  • Individual supervision: Benefit from our professional accompaniment and an open, communicative exchange within the team. 

  • Exiting tasks and creative freedom: Take responsibility and contribute your own ideas.

  • Additional opportunities: Possibility for student employment.


 


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.


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!


 



Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB 


 


Requisition Number: 81568                Application Deadline:


 


Required Skill Profession

Computer Occupations



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