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Qasim Malik

1 week ago

PhD Position in Algorithmic and Structural Properties of box-TDI Polyhedra (Computer Science, Combinatorial Optimization) Université Paris Dauphine-PSL in France

Degree Level

PhD

Field of study

Computer Science

Funding

No explicit funding information is provided in the announcement. Candidates are encouraged to consult the lab's website or contact the supervisors for details regarding financial support, stipends, or tuition coverage.

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Country

France

University

Université Paris Dauphine-PSL

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Keywords

Computer Science
Mathematics
Combinatorics
Combinatorial Optimization

About this position

A PhD position is available in Computer Science at Université Paris Dauphine-PSL, focusing on the algorithmic and structural properties of box-TDI polyhedra. The project, supervised by Professor Qasim Malik (Walailak University) in collaboration with Roland Grappe (Université Paris Dauphine-PSL), lies at the intersection of polyhedral combinatorics and combinatorial optimization. The research will investigate the diameters and structural aspects of a specific class of polyhedra that arise in discrete optimization, offering opportunities to contribute to both theoretical and applied aspects of mathematical optimization.

Applicants should have a strong background in computer science, mathematics, or related fields, with particular interest in combinatorics, optimization, or discrete mathematics. A master's degree is typically required, and candidates should possess strong analytical and problem-solving skills. Proficiency in English is expected for effective communication and research dissemination.

The position is based at the Laboratoire d’Analyse et de Modélisation de Systèmes d’Aide à la Décision (LAMSADE) at Université Paris Dauphine-PSL, a leading research center in decision support systems, combinatorial optimization, and applied mathematics. The lab offers a vibrant academic environment with access to a network of international collaborators and a range of research projects in related areas.

Funding details are not specified in the announcement. Prospective candidates are encouraged to consult the LAMSADE website or contact the supervisors directly for information regarding financial support, stipends, or tuition coverage. The application process involves reviewing the project details on the lab's website and reaching out to Professor Qasim Malik for further discussion. Additional projects and opportunities can be explored via the provided links.

For more information, visit the LAMSADE job and thesis proposals page or contact the supervisors through their academic profiles.

Funding details

No explicit funding information is provided in the announcement. Candidates are encouraged to consult the lab's website or contact the supervisors for details regarding financial support, stipends, or tuition coverage.

What's required

Applicants should have a strong background in computer science, mathematics, or a related field, with particular interest or experience in combinatorics, optimization, or discrete mathematics. A master's degree in a relevant discipline is typically required. Strong analytical and problem-solving skills are essential. Proficiency in English is expected.

How to apply

Review the project details on the lab's website. Contact Qasim Malik if interested. Browse other available projects at the provided link. Follow application instructions as outlined on the LAMSADE website.

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