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Advanced School for Computing and Imaging (ASCI)

ASCI office
Delft University of Technology
Building 28, room E.3080
Van Mourik Broekmanweg 6
2628 XE – DELFT, The Netherlands

E: asci-office@tudelft.nl

Directions

The ASCI office is located at the Delft University of Technology campus.  It is easily accessible by bicycle, public transport and car. The numbers of buildings can help you find your way around the campus. Make sure you remember the name and building number of your destination.

Contact us at +31 15 278 8032 or send us an email at asci-office@tudelft.nl

The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for 3 PhD candidates

Announcements, Highlighted, News, Vacancies

The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for:

2 PhD Candidates, AI-driven co-design for High-Performance Computing in Radio Astronomy:

https://www.universiteitleiden.nl/en/vacancies/2025/q1/15475-phd-candidate-ai-driven-co-design-for-high-performance-computing-in-radio-astronomy

We are looking for a PhD candidate in Software Optimization and Compiler Techniques. This is an exciting and fully-funded dual-appointment PhD candidate and junior software administrator position that allows you to both conduct cutting-edge research leading to a PhD thesis as well as gain experience in system administration in a scientific computing environment. Both require in-depth knowledge and understanding of low-level computer systems and as such these positions reinforce each other. The practice helps the theory, and the theory helps the practice. As such, this unique position allows you to become a highly specialized researcher in the field of structure and optimization of computer systems.

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Dual-Appointment PhD Candidate and Junior System Administrator, Software Optimization and Compiler Techniques

https://www.universiteitleiden.nl/en/vacancies/2024/q3/24-43115038dual-appointment-phd-candidate-and-junior-system-administrator-software-optimization-and-compiler

We are looking for two fully funded PhD candidates for a multi-disciplinary project on the boundary of AI (Artificial Intelligence), HPC (High-Performance Computing) and radio astronomy. Data-intensive science, such as radio astronomy, will shortly be faced with difficult choices since the vast amount of energy required to reduce large-scale telescope data will become more and more expensive and unsustainable. One way to address this issue is to use more efficient emerging technologies (like dedicated AI processors, in-memory computing, neuromorphic chips, etc.). However, the effort required to port existing codes is often prohibitive. Successful candidates will investigate whether AI can assist in generating code to address these challenges. This will involve tuning existing open Large Language Models (LLMs) to add knowledge about existing radio astronomy codes and the capabilities of emerging technologies, testing prototype codes generated by these models for performance, sustainability and functional correctness.

Interested? Please send your application before March 22, 2025.