Our lab is constantly looking for highly motivated people to join us. Simply get in touch with Alex Breuer if you are interested in any of the lab’s activities.

Student Projects

Student projects are always welcome in our lab! Typically, a “student project” is your Bachelor’s or Master’s thesis. However, we are open for all other projects as well! Joining us means that you become a part of the lab and actively participate in the lab’s activities: We meet regularly and share our progress and thoughts, we read and discuss scientific papers, and we have a joint coffee break once a day ☕.

Topics are close to the lab’s research endeavors and depend on individual preferences. Often student projects are related to classes or seminars taught by members of the lab. However, you may even bring your own topic! Here is a non-exhaustive list of recent unassigned topics to spark your thoughts:

Optimizing Intermediate Data Layouts in Neural Network Inference through Reinforcement Learning.
Accelerating the Evaluation of Einsum Expressions through Matrix Engines.
A Graphical User Interface (GUI) for the Compilation of Tensor Expressions (partial prototype).
Tensor Processing Primitives on the Hexagon Tensor Processor.
High-performance Small Matrix Multiplications using the Scalable Matrix Extension.
Adaptive Computing: Harnessing the AI Engine of the VCK190 Evaluation Kit.
Fast Tensor Contractions on Tensix AI Cores and the Ryzen AI Engine.
Benchmarking of the Snapdragon 8 Gen 2 Mobile Platform used in the Qualcomm Innovators Development Kit.
Low-level Performance Optimization and Evaluation of MLPerf Inference Benchmarks on Recent Smartphone SoCs.
Integration of Custom Tensor Expressions into ExecuTorch for high-performance on-device Inference.
Accelerated Compression Algorithms: High-Performance Data Processing with SVE.
ADER Discontinuous Galerkin Methods for Nonlinear Hyperbolic Partial Differential Equations.

Open Positions

We have multiple openings at the Ph.D. or Postdoc level (100%, TV-L E13). You are probably a good match if your profile has a strong overlap with the following qualifications:

Master’s / Ph.D. degree in Computational and Data Science, Computer Science, Mathematics, or a related field
C / C++ skills and a passion for writing high-quality code
Experience in programming at the lowest levels (assembly and machine code)
Experience in parallel programming and hardware architectures
Expertise in numerical algorithms and data analytics
Willingness to expand your expertise to new and project-relevant areas
Strong verbal and written communication skills
Willingness to work in a dynamic and team-oriented environment
Experience with Machine Learning / Deep Learning frameworks and libraries
Python skills including interfaces to C / C++ or intermediate layers
Experience with good software engineering practices

We also hire highly motivated undergrad and graduate students (up to 20h / week). All students are integrated into the lab’s research endeavors.