ManiFactor: Factor Analysis for Maps into Manifolds

We offer a fully funded PhD position at the Department of Computer Science in the Faculty of Engineering Science. This includes an appropriate research budget, a competitive salary, health insurance and other social benefits, and additional benefits provided by KU Leuven (which may include a leased bike, end-of-year vacation bonus, part-time work from home, sports facilities, reduction for cultural events, etc). The aim is that the research results in a PhD dissertation.
The Faculty of Engineering Science, through the Arenberg Doctoral School, offers academic and professional training courses. Some of these are mandatory, comprising essential skills such as a workshop on scientific integrity and training for teaching assistants. Others are elective and focus on diverse skills that can be useful in both an academic and professional setting, such as academic writing, effective presentations, and project management.
The candidate will be offered a shared office space in a stimulating, international environment at the Department of Computer Science. The office will be equipped with a docking station, computer screen, and portable computer. Additionally, the department offers a cafeteria, free coffee machine, showers and lockers, bike stalls, and potentially access to a nearby parking lot.
The Department of Mathematics and the Department of Computer Science are located in adjacent and connected buildings on the Arenberg III campus of KU Leuven in the quiet outskirts of Leuven.

We are looking for a candidate with a Master's degree in applied or pure mathematics, broadly defined. At least one of the degrees must have been obtained with distinction. The ideal traits of a PhD student for this topic are creativity, independence, a methodological approach to problem solving, a scientific evidence-based mindset, resistance and tolerance of failures and set-backs, mathematical maturity, and a geometric intuition. The candidate is highly motivated to perform state-of-the-art research, wants to learn something new every day, and is not afraid of hands-on experimentation.
We expect that the training of the candidate included basic computer science (programming, data structures, and fundamental algorithms), numerical analysis (floating-point numbers, the effect of roundoff on a computer implementation of an algorithm), and mathematics (calculus, geometry, optimization). The candidate is encouraged to include relevant evidence of this in the application. Knowledge of the more advanced topics of differential geometry, functional analysis, and mathematical optimization are particularly strong assets, though expertise in all of these areas is not expected at the outset of the PhD.
The candidate is fluent in English, both written and verbally, as demonstrated for example by their Bachelor or Master's thesis, or other scientific output. Knowledge or a willingness to learn Dutch is an asset, but not a requirement.
KU Leuven is an inclusive employer. We especially encourage students from any underrepresented minorities to apply for this position. 

Submit your application through KU Leuven's online application tool and be sure to include:- a motivation letter,
- a detailed curriculum vitae,
- transcripts of university diplomas, and
- the contact information of two academic references.
Applications will be considered as soon as we receive them. The application may be closed earlier than the final application date in case a strong candidate has been found. Some flexibility in the starting date of the position is possible, but it must be before 2022.
For more information please contact eitherProf. dr. Nick Vannieuwenhoven, tel.: +32 16 37 39 54, mail: [email protected] . dr. Joeri Van der Veken, tel.: +32 16 32 70 17, mail: [email protected] . dr. Raf Vandebril, tel: +32 16 32 76 30, mail: [email protected]
You can apply for this job no later than 29/10/2021 via the online application tool

https://easyapply.jobs/r/G8TRlcG1VHUVHGqAhqA

https://easyapply.jobs/r/e8TRmge1VHUVHehGl9q