11 Jan 2024
Job Information
- Organisation/Company
KU Leuven- Research Field
Mathematics » Computational mathematics- Researcher Profile
First Stage Researcher (R1)- Country
Belgium- Application Deadline
23 Feb 2024 - 00:00 (UTC)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
38 hours/week- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Reference Number
BAP-2024-9- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Context: Artificial Intelligence has revolutionized the way images are processed. During the last years, spectral imagers (e.g., hyperspectral, CT) have become commercially available, which offer in particular great added for quality control in agrofood. However, spectral imaging devices are burdened by the complexity and high dimensionality of generated data compared to classical imagers. In addition, machine learning models typically require large, labelled datasets which are generally unavailable for spectral images. There is thus a need for efficient learning strategies. The objective of this project is to develop tensor-based compression algorithms for efficiently building machine learning models for high-dimensional, spectral images in agrofood applications.
In this research work, you will first evaluate the performance of tensor decomposition and compression when applied to spectral data and fed into a machine learning pipeline. Subsequently, you will go well beyond the state of the art and develop novel methods that adapt the tensor decomposition to align better with the machine learning goal (e.g., classification, regression, clustering).
This project is in collaboration with the DTAI research unit of the Computer Science department and the MeBioS division of the Biosystems department.
Requirements
- Research Field
- Mathematics
- Education Level
- Master Degree or equivalent
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
Benefits
We offer a full-time position as a doctoral researcher for a maximum of four years, with yearly evaluation.
- You will receive a salary or a monthly tax-free grant. In addition, health insurance and social security will be covered.
- You will work in a supportive multi-disciplinary research team of engineers and scientists with backgrounds in scientific computing, computer science, mathematical engineering and data science.
- You will build up research and innovation skills that are essential for a future career in research and development, both in industry and academia.
Eligibility criteria
- You have a Master's degree in Mathematics, Applied Mathematics, Computer Science, Engineering or similar.
- You have experience in programming and a general interest in the development of numerical methods and their application in engineering.
- Excellent proficiency in English is required, both oral and written.
Selection process
For more information, please contact Prof. dr. Mariya Ishteva ([email protected] ) or dr. Ward Melis ([email protected] ).
You can apply for this job no later than 23/02/2024 via the online application tool
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- KU Leuven
- Country
- Belgium
- State/Province
- Antwerpen
- City
- Geel
- Postal Code
- 2440
- Street
- Geel
- Geofield
Where to apply
- Website
https://easyapply.jobs/r/3kmoLz3219a6W34k4lmw
Contact
- State/Province
Geel- City
Antwerpen- Street
Geel- Postal Code
2440
STATUS: EXPIRED
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