PhD Position on Machine Learning Models: KU Leuven invites applications for a PhD position at the intersection of research units NUMA and ADVISE. This position involves developing tensor-based compression algorithms for efficiently building machine learning models for high-dimensional, spectral images in agrofood applications. The research will be conducted in collaboration with the DTAI research unit and the MeBioS division.
Designation: Doctoral Researcher (PhD)
Research Area: Tensor Compression for Machine Learning Models
Location: KU Leuven – Numerical Analysis and Applied Mathematics Research Unit (NUMA) and Advanced Integrated Sensing lab (ADVISE)
Eligibility/Qualification:
- Master’s degree in Mathematics, Applied Mathematics, Computer Science, Engineering, or a related field.
- Programming experience and a general interest in numerical methods and their application in engineering.
- Proficiency in English (oral and written).
Job Description:
PhD Position on Tensor Compression for Building Machine Learning Models
- Evaluate tensor decomposition and compression performance when applied to spectral data.
- Develop novel methods aligning tensor decomposition with machine learning goals (e.g., classification, regression, clustering).
- Collaborate with DTAI and MeBioS research units.
What We Offer:
- Full-time position for a maximum of four years, with yearly evaluation.
- Salary or a monthly tax-free grant, health insurance, and social security coverage.
- Work in a supportive multi-disciplinary research team.
- Build research and innovation skills essential for future careers in research and development.
How to Apply: Contact Prof. Dr. Mariya Ishteva (mariya.ishteva@kuleuven.be) or Dr. Ward Melis (ward.melis@kuleuven.be) for more information.
Application Procedure: Visit [KU Leuven online application portal](application link not provided).
Last Date for Application: Applications will be reviewed promptly.
Disclaimer: This job post is sourced from a reliable channel. Applicants are advised to verify details and check for any updates on the official website of KU Leuven for the most accurate and up-to-date information. KU Leuven strives for inclusivity, diversity, and equal opportunities, rejecting all forms of discrimination. For questions about accessibility or support offered, contact the provided email address.
