Master degree in signal and image processing methods and applications

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SIGMA master's degree was created in 2016. This master offers students a possibility to expand their knowledge and develop their expertise in the field of digital signal and image processing, computer sciences, and information technologies. A particular emphasis is put on fundamental, modern tools for signal and systems modeling, information extraction from experimental data, as well as information representation and conditioning.

The program provides students with the necessary skills to become creative experts in digital technologies with applications ranging from biomedical signal processing over observational sciences (geoscience, monitoring, remote sensing, ...) to artificial intelligence (machine learning, statistical inference, Bayesian computational methods).

The master provides an excellent entry point into PhD studies in electrical engineering and computer sciences, with a specific focus on digital methods. An important part of the lectures is dedicated to expose students to the current state of research and development, and is organised as a series of short lectures given by professionals and researchers from companies or laboratories in the field of information technologies. A 5 to 6 months internship in a research lab or in a company involved in R&D is part of the curriculum.

Joining the SIGMA program means profitting from an excellent scientific environment and a vast network of regional experts in signal and image processing theory and applications. Among the associated labs are: GIPSA-Lab, IPAG, CEA-LETI, LISTIC in Annecy, Hubert Curien in Saint Etienne, Physics laboratory at ENS-Lyon and many others.

SIGMA is a two-year program providing a total of 120ECTS (European Credit Transfer and accumulation System). Students with an equivalent of 240ECTS can be admitted directly to the second year of the master's degree. The master is single track allowing students to choose courses from a course catalogue to adapt their curriculum to their personal professional project.

The taught modules are lecture based; some of them have lab work session associated. The students are required to perform a long internship (5-6 months) at the end of the second year M2. A Data challenge is organized at the end of the second and the third semester, tackling hot topics in signal and image processing.

Year Semester
M2 S4 Long internship
S3 Courses Scientific Seminars Data Challenge
M1 S2 Courses Lab project II Data Challenge
S1 Courses Lab project I

Students are required to perform a long internship during the master's degree. It is up to the student to find an internship, however, its topic should be approved by the program director. The student's contribution during this internship is evaluated by a jury. The evaluation is based both on a written report as well as on an oral presentation.

Each student is assigned an adviser (tutor) to insures that the conditions of the internship work are properly set-up. The students can contact their tutors for advice on the evolution of their internship or in case of problem with the supervisor. The tutor attends the internship defense and participate in the evaluation of the student.

Professors teaching in SIGMA are coming from regional partner institutes such as Grenoble Institute of Technology (INP-Grenoble) Grenoble-Alpes University (UGA) members of GIPSA-Lab laboratory in collaboration with members of IPAG, ISTerre and CEA-LETI. Moreover, it regroups regional experts in the domain signal processing theory and applications and several professors and researchers from ENS Lyon, university Savoie Mont Blanc in Annecy, Jean Monnet Universiy in Saint-Etienne.

TEACHING STAFF
Name Title (Affiliation, Laboratory)
AYASSO Hacheme Associate professor (UGA, GIPSA-LAB)
CHANUSSOT Jocelyn Full professor (G-INP, GIPSA-LAB)
CHATELAIN Florent Associate professor (G-INP, GIPSA-LAB)
COUILLET Romain Full professor (CentraleSupélec, Chair at UGA, GIPSA-LAB)
DALLA MURA Mauro Associate professor (G-INP, GIPSA-LAB)
DOUTÉ Sylvain Research fellow (CNRS, IPAG)
Granjon Pierre Associate professor (G-INP, GIPSA-LAB)
HUEBER Thomas Research fellow (CNRS, GIPSA-LAB)
IOANA Cornel Associate professor (G-INP, GIPSA-LAB)
Mars Jérôme Full professor (G-INP, GIPSA-LAB)
MICHEL Olivier Full professor (G-INP, GIPSA-LAB)
MOUILLET David Astronome (UGA, IPAG)
PHLYPO Ronald Associate professor (G-INP, GIPSA-LAB)
RIVET Bertrand Associate professor (G-INP, GIPSA-LAB)
ROS Laurent Associate professor (G-INP, GIPSA-LAB)
ZOZOR Steeve Research director (CNRS,GIPSA-LAB)