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Masterthesis: design and implementation of a gaussian mixture sampler in pytorch (karlsruhe, de, 76131)

Karlsruhe
Abschlussarbeit
Fraunhofer-Gesellschaft
Designer
Inserat online seit: Veröffentlicht vor 3 Std.
Beschreibung

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 SFB1574 - 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 a sampler for Gaussian Mixture Models (GMMs)
* Investigate and compare different sampling strategies (e.g., rejection sampling, importance sampling, MCMC)
* Implement the chosen methods efficiently in PyTorch, focusing on scalability and numerical stability
* Benchmark the performance of your sampler against existing approaches and analyze its behavior on synthetic and real-world datasets
* Evaluate the integration of the developed sampler into probabilistic modeling workflows within adaptive manufacturing systems



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 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!





If you have any questions, please contact:

Ali Darijani
E-Mail: ali.darijani@iosb.fraunhofer.de

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB

www.iosb.fraunhofer.de



Requisition Number: 81567 Application Deadline:

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Masterthesis: design and implementation of a gaussian mixture sampler in pytorch
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Home > Stellenangebote > Design Jobs > Designer Jobs > Designer Jobs in Karlsruhe > Masterthesis: Design and Implementation of a Gaussian Mixture Sampler in PyTorch (Karlsruhe, DE, 76131)

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