PhD Position for Graduates in Optimization for Data Science is available in DTU Compute, Technical University of Denmark, Denmark
Deadline to Apply
June 18, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||– Applied Mathematics|
– Data Science
– Computer Science
|Scholarship||“According to standard norms”|
Technical University of Denmark
|Contract Period||3 Years|
|Starting date||Sept 01, 2021 or ASAP|
- Two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree
- You have completed a master’s degree within applied mathematics, science and/or engineering, and you have an interest in and knowledge of optimization and numerical linear algebra.
- In addition, you are fluent in English, have strong communication skills and have programming experience in, e.g., Python, MATLAB, or Julia.
The assessment of the applicants will be made by Associate Professor Martin S. Andersen.
You will contribute to the design of new, fast computational methods for optimization problems with certain types of structure such as rank-structure and/or sparsity. You will also have the opportunity to apply these methods to real datasets as proof of concept.
You will work closely with the rest of the project team and be expected to:
- carry out research under supervision and disseminate findings
- participate in scientific activities such as conferences, workshops, summer schools, etc.
- complete relevant coursework (30 ECTS)
- serve as a teaching assistant
- go on an external research stay (typically 3-6 months)
- co-supervise BSc and/or MSc student projects
How to Apply?
To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file.
Applications must be submitted as one PDF file containing all materials to be given consideration. The file must include:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma
- Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
About the project/department
We offer the chance to join a dynamic and international research environment as a PhD student in the Section for Scientific Computing at the Department of Applied Mathematics and Computer Science. The position is fully funded and part of a five year-long project titled “Scalable Optimization for Data Science” which is funded by the Novo Nordisk Foundation. Our goal is to develop new computational methods for detecting and exploiting various kinds of complex rank structure in optimization problems that arise in data science.
Together with the project group, you will help shape and develop a new generation of optimization methods for increasingly large and complex problems within data science. Since we will focus on exploiting hidden mathematical structure in problem formulations and data sets, the potential applications are wide-ranging.
- If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.
- All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
Associate Professor Martin S. Andersen,
Tel. (+45) 4525 3036.
Post expires at 8:59am on Saturday June 19th, 2021 (GMT+9)