- Country: Belgium
- Deadline: March 31, 2021
- Discipline: Master degree in Computer Science, Business Engineering, Informatics, Engineering or equivalent
- Apply here
We are looking for a highly creative and motivated PhD student with the following qualifications and skills:
- You have (or will obtain in the next months) a master degree in Computer Science, Business Engineering, Informatics, Engineering, or equivalent, with excellent qualifications at bachelor and master level.
- You are strongly interested in computer science (and machine learning in particular) as well as in economics and corporate finance, and have strong skills in at least one of these areas. You are eager to advance the state-of-the-art in these areas.
- Experience with machine learning algorithmic approaches or frameworks (such as PyTorch, Tensorflow, etc.) is considered a plus.
- You have excellent analytical skills to interpret the obtained research results.
- You are a team player and have strong communication skills. – You have good knowledge of Dutch, and your English is fluent, both speaking and writing.
- We offer a full-time position as a Ph.D. scholarship recipient, consisting of an initial period of 12 months, which –upon positive evaluation– will be extended to a maximum of 3 or 4 years.
- We offer a dynamic and international work environment with a competitive salary and ample training and self-development opportunities.
- The PhD position is available starting September 2021.
How to apply
We are looking forward to hear from you! Please apply by e-mail to Prof. Joke Baeck at email@example.com before 31 March 2021. Your application should include the following documents (merged in one pdf-file):
- Motivation letter
- Diploma and transcript of records (bachelor and master)
For more information about this vacancy please contact Prof. Thomas Demeester at firstname.lastname@example.org (if your main interest is in the computer science part of the project) or Prof. Klaas Mulier at email@example.com (if your main interest is in the economic aspect of the project).