The University | About us...

The University | About us...

The MATHCODA Doctoral Training Unit is a doctoral program focusing on innovative mathematical tools for high-dimensional and complex data structures. Applications span from life sciences to engineering and finance. Our goal is to train researchers in advanced mathematical techniques for modeling and analyzing data with unique features like high-dimensional components, complex topological structures, or long-range dependence. The DTU will be led by seven supervisors from Luxembourg University, each a specialist in mathematical statistics, probability theory, and their applications. We believe the collaboration among distinct research groups in MATHCODA will offer doctoral candidates a rich learning environment and a strong foundation for their future careers.

The MATHCODA Doctoral Training Unit is a doctoral program focusing on innovative mathematical tools for high-dimensional and complex data structures. Applications span from life sciences to engineering and finance. Our goal is to train researchers in advanced mathematical techniques for modeling and analyzing data with unique features like high-dimensional components, complex topological structures, or long-range dependence. The DTU will be led by seven supervisors from Luxembourg University, each a specialist in mathematical statistics, probability theory, and their applications. We believe the collaboration among distinct research groups in MATHCODA will offer doctoral candidates a rich learning environment and a strong foundation for their future careers. MATHCODA Doctoral Training Unit

The MATHCODA consortium, coordinated by the Mathematics Department (DMATH) of the Faculty of Science, Technology and Medicine (FSTM), in collaboration with FSTM's Department of Engineering (DoE) and the Department of Finance (DF) of the Faculty of Law, Economics and Finance (FDEF), has an opening for:

The MATHCODA consortium, coordinated by the Mathematics Department (DMATH) of the Faculty of Science, Technology and Medicine (FSTM), in collaboration with FSTM's Department of Engineering (DoE) and the Department of Finance (DF) of the Faculty of Law, Economics and Finance (FDEF), has an opening for:

PhD positions, co-financed by a grant from the Luxembourg National Research Fund.

PhD positions, co-financed by a grant from the Luxembourg National Research Fund. PhD positions

PhD advisor currently recruiting and his research areas:

PhD advisor currently recruiting and his research areas: PhD advisor

• Yannick Baraud (DMATH): mathematical statistics, robust estimation, variable selection

Yannick Baraud (DMATH): mathematical statistics, robust estimation, variable selection

Yannick Baraud (DMATH): mathematical statistics, robust estimation, variable selection

Your Role...

Your Role...

Successful candidates will conduct research under the guidance of professors (listed above) to obtain a PhD in mathematics. They will also contribute to department activities, including seminars, teaching, outreach, and other research events.

Successful candidates will conduct research under the guidance of professors (listed above) to obtain a PhD in mathematics. They will also contribute to department activities, including seminars, teaching, outreach, and other research events.

Our departments provide dynamic environments for PhD candidates, with seminars, working groups, colloquia, and doctoral schools offering diverse training opportunities beyond mathematics.

Our departments provide dynamic environments for PhD candidates, with seminars, working groups, colloquia, and doctoral schools offering diverse training opportunities beyond mathematics.

What we expect from you…

What we expect from you…

• Master's Degree (or equivalent) in mathematics or related disciplines (degree must be obtained before the contract begins, but applications can be submitted earlier)
• Good command of written and spoken English
• Strong dedication to research-level mathematics

Master's Degree (or equivalent) in mathematics or related disciplines (degree must be obtained before the contract begins, but applications can be submitted earlier)

Master's Degree (or equivalent) in mathematics or related disciplines (degree must be obtained before the contract begins, but applications can be submitted earlier)

Good command of written and spoken English

Good command of written and spoken English

Strong dedication to research-level mathematics

Strong dedication to research-level mathematics

How to apply...

How to apply...

Applications should include:

Applications should include:

• Letter of motivation explaining reasons for applying to Luxembourg
• A ranked list of up to three PhD advisors from the above list (with motivations for the choices)
• Full CV
• Transcript of academic records and copies of diploma
• Names of at least two references willing to provide recommendation letters (they may be contacted by us)
• Any other relevant documents

Letter of motivation explaining reasons for applying to Luxembourg

Letter of motivation explaining reasons for applying to Luxembourg

A ranked list of up to three PhD advisors from the above list (with motivations for the choices)

A ranked list of up to three PhD advisors from the above list (with motivations for the choices)

Full CV

Full CV

Transcript of academic records and copies of diploma

Transcript of academic records and copies of diploma

Names of at least two references willing to provide recommendation letters (they may be contacted by us)

Names of at least two references willing to provide recommendation letters (they may be contacted by us)

Any other relevant documents

Any other relevant documents

Early application is encouraged, as applications will be processed upon receipt. Please apply ONLINE through the HR system. Email applications will not be considered.

Early application is encouraged, as applications will be processed upon receipt. Please apply ONLINE through the HR system. Email applications will not be considered.

The University of Luxembourg values inclusion and diversity. We are committed to removing discriminatory barriers related to gender and other factors in recruitment and career progression.

The University of Luxembourg values inclusion and diversity. We are committed to removing discriminatory barriers related to gender and other factors in recruitment and career progression.