PhD Positions in Computer Vision and Image Processing

 

We are currently inviting applications for PhD positions in Computer Vision and Image Processing, starting in November 2017.

The successful applicant’s research focus is expected to be on mathematical image modeling, computational methods for inverse imaging problems, large-scale optimization, and fast numerical methods.

Eligibility

  • Successful candidates are expected to have a Masters (or Specialist or an equivalent) degree in electrical engineering, computer science, or applied mathematics.
  • Previous experience in image/signal processing and/or machine learning is highly desirable.
  • The candidates should have a strong theoretical background and a desire to use mathematical tools in their research.
  • A good knowledge of C/C++, Python, Matlab and/or Cuda is also required.
  • The candidates should have at least an upper-intermediate level of the English language.

 

Application Procedure

Prior to submitting an application, students are advised to contact Prof. Stamatios Lefkimmiatis (S.Lefkimmiatis@skoltech.ru).

Please submit a PhD application including:

  • a motivation letter (statement of purpose),
  • a CV, with the publications list (if any),
  • 2 letters of recommendation, and
  • proof of proficiency in English, i.e., TOEFL or IELTS (students may submit an application without this information, but all will be asked to provide it at a later date)

through Skoltech Admissions for Doctoral Programs, selecting “PhD” as the degree level, identifying Stamatios Lefkimmiatis as the prospective supervisor, and choosing “CDISE” from the list of centers.

All documents should be submitted in English (the exceptions are diplomas in Russian and publications in Russian).

 

Further information

Information about Skoltech: http://www.skoltech.ru/en

Information about CDISE: http://crei.skoltech.ru/cdise/

Queries regarding research interests: Prof. Stamatios Lefkimmiatis (S.Lefkimmiatis@skoltech.ru)

Queries regarding application process:

 

Skoltech is committed to diversity and opportunity, and application materials will be considered without regard to the gender, race, or nationality of the applicant.