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International PhD Positions in Nonconvex Stochastic Optimization for Deep Learning and Logistics, France

International PhD Positions in Nonconvex Stochastic Optimization for Deep Learning and Logistics, France
International PhD Positions in Nonconvex Stochastic Optimization for Deep Learning and Logistics, France
Doctoral
Engineering&Technology,Computer Science & IT,Medical & Pharmacy,Social Sciences
Last Date 22 Nov 2022 France

University of Lorraine

Eligible:

Applicants from all nations throughout the world are welcome to apply.

PhD degree in computer science offered by the university.

Criteria: 

Applicants must have a master’s degree in Computer science or Applied mathematics.

PhD degree in computer science offered by the university.

Good background in Analysis, Stochastic, Optimization, and Machine learning.

Good skill in programming in Matlab, C, C++, and python (writing the code of numerical algorithms).

Last date:

The applications are currently open and will remain so until the position is filled.

This funding opportunity is open to highly talented international students planning to pursue a PhD degree at the University of Lorraine. The goal of this thesis is to create new models and methods for nonconvex/nonsmooth stochastic optimization problems that have arisen in important areas.

University or Organization: The University of Lorraine

Department: NA

Course Level: PhD Postgraduate research

Award: Salary

Number of Awards: NA

Access Mode: Online

Nationality: International

The award can be taken in France.

Application Deadline: The applications are currently open and will remain so until the position is filled.

Admission Requirements: 

Students must provide all required supporting documents.

Language Requirement:

 Applicants whose first language is not English must submit evidence of competency in English.

Apply now

 

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Eligible Countries:

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