The advertised PhD position is at the intersection of research groups NUMA and ADVISE at KU Leuven. The Numerical Analysis and Applied Mathematics research group NUMA is part of the Computer Science department. NUMA develops and analyzes numerical algorithms and software for large-scale and complex problems in science and engineering. Our research comprises the whole range from fundamental research (including exploration of novel approximation strategies and numerical analysis) to software implementation and applications in other scientific and engineering domains. Algorithm design for specific applications is always done in collaboration with domain experts. Advanced Integrated Sensing lab (ADVISE) is a research group from the Faculty of Engineering Technology (“Faculteit Industriële Ingenieurswetenschappen”) at Campus Geel. ADVISE unites a broad experience in both hardware (design and testing of both PCB and integrated circuit implementations) and software (real-time processing and analysis of large multimodal datasets). This unique combination of expertise enables the development of integrated sensing and communication systems for many different applications including those that need to work in harsh (radiation) conditions or have extremely high reliability requirements.
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Project
Data are often naturally multi-dimensional (multi-way). A promising tool for dealing with such data is the generalization of matrices to higher-dimensional arrays of numbers, called higher-order tensors. Tensor techniques are becoming increasingly important in various research domains, for example, biomedical signal processing, data mining, and telecommunications. Such techniques have the potential to handle complex systems where existing methods fail. Moreover, models are given physical or intuitive interpretation and the number of parameters is drastically decreased.
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Profile
The candidate holds a master’s degree in Mathematics, Computer Science, Engineering, or similar. The candidate also has a strong background in linear algebra and data analysis and is willing to gain advanced knowledge and skills in this field. An excellent command of the English language, both in spoken and written form, is a must. Thorough knowledge of Matlab and Python is strongly recommended. Experience with tensor methods is an advantage but is not required.
Offer
- An attractive remuneration package competitive with industry standards in Belgium.
- A chance to pursue a PhD in Engineering, typically a 4 year trajectory, in a stimulating and ambitious research environment.
Start date: September 1, 2023 or as soon aspossible afterwards.
- A chance to pursue a PhD in Engineering, typically a 4 year trajectory, in a stimulating and ambitious research environment.
- Ample opportunity to develop yourself both in a scientific or an industrial direction. Besides opportunities provided by the research group, further doctoral training for PhD candidates is provided in the framework of Leuven Arenberg Doctoral School (https://set.kuleuven.be/phd), known for its strong focus on both future scientists and scientifically trained professionals who will valorize their doctoral expertise and competences in a non-academic context. More information on the training opportunities can be found on the following link: https://set.kuleuven.be/phd/dopl/whytraining .
Start date: September 1, 2023 or as soon aspossible afterwards.
Interested?
To apply for this position, please follow theapplication tool and enclose:
1. full CV
2. motivation letter
3. proof of English proficiency (TOEFL, IELTS, …) - if available
4. an English or Dutch version of a master thesis, or of a recent publicationor assignment - if available
For more information please contact Mariya Ishteva, by sending an e-mail to mariya.ishteva@kuleuven.be and using “Tensor decomposition vacancy” as a subject line.
You can apply for this job no later than July 06, 2023 via the online application tool
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.
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