PhD student in Applied Mathematics, Artificial Intelligence, and Complexity Science

Teaching:

In this position, you will be co-responsible for the exercises sessions of various Mathematics courses (Calculus, Linear Algebra, Advanced Mathematics). You will be teaching exercises, supervising students, and supervising master and bachelor theses. 

Research:  

The Data Lab is a multidisciplinary group of enthusiastic researchers at the Vrije Universiteit Brussel. We exploit the link between data analysis and the properties of complex systems in analyzing interdisciplinary issues. In doing so, we develop data analysis tools based on information theory, graph theory, nonlinear dynamics, and statistical physics. This combination enables an imaginative, cross-disciplinary, and insightful approach to complex problems with a societal impact. The research's primary focus is on gaining insight into the operation and application of artificial neural networks.

- You are curious, eager to learn, and creative. 

- You have obtained a Master's degree in a relevant field, e.g., Mathematics, Physics, Engineering, Computer Science, Commercial Engineering, or (Applied) Economics. 

- A teacher's degree or teaching experience is a definite plus. 

- A sound basis of symbolic and numeric programming languages (e.g., Mathematica, Matlab, Python, C++) is a definite plus. 

Female candidates and candidates from groups that are currently underrepresented in our team are particularly encouraged to apply. 

As an employee of the Vrije Universiteit Brussel, you work in a dynamic, diverse, and multilingual environment. Our campuses are both located in the middle of a green oasis on the edge of the center of the capital of Flanders, Belgium, and Europe. This center, with all its possibilities, can be reached by public transport in less than half an hour. 

Depending on your experience and your academic merits, you will receive a salary in one of the scales established by the government. Hospitalization insurance and free use of public transport for commuting are standard conditions of employment. If you prefer to cycle to work, you will also be compensated for this. Both campuses have extensive sports facilities at your disposal, and a nursery is within walking distance. 

For more information, please contact Prof. dr. Vincent Ginis, mail: [email protected] , +32-2-6148339. 

To apply, please submit your motivation letter, CV, copies of transcripts/M.Sc. Degree. You can apply for this job no later than September 6th, 2022, by sending all the requested documents to [email protected] . Applicants will be considered on a rolling basis.