Eindhoven University of Technology
Eligible:
All nationalities
Applicants can undertake any research programme at Eindhoven.
Criteria:
You have good programming skills and experience (OCaml or Python is an asset).
You have good communication skills and are eager to work as part of a research team.
Last date:
June 12, 2022.
Eindhoven University of Technology
PhD position on hybrid data/knowledge driven modeling of high-dimensional data
Job description
Data driven modeling is widely used for optimizing modern digital systems, addressing our inability to model these systems from first principles due to their complexity and the high dimensional data they generate.
Conditions of employment
A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
A full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
To develop your teaching skills, you will spend 10% of your employment on teaching tasks.
Last date:
June 12, 2022.
The purpose of this application is to support high potential overseas candidates who want to undertake the PhD programme at the university.TU/e is known for graduating engineers who are capable of tackling problems that have yet to occur.
University or Organization: Eindhoven University of Technology
Department: Department of Mathematics and Computer Science
Course Level: PhD
Awards: Tuition fee
Number of Awards: NA
Access Mode: Online
Nationality: International students
The award can be taken in the Netherlands
Application Deadline: June 12, 2022.
Admission Requirements:
For taking admission, candidates must meet all entry requirements of the university.
Language Requirement:
The students must have an IELTS score of preferably at least 6.5 overall or a TOEFL score of 90 (internet-based). TU/e accepts TOEFL and IELTS tests. (TOEFL: Overall band score of at least 90 AND a minimum score of 21 for each section; IELTS (academic version) with an overall band score of at least 6.5 and a minimum of 6.0 for each section.
