Aix-Marseille Université

One-year Postdoc in Signal and Image Processing/ Data Science/ Applied Mathematics (funded by A*midex)

2024-01-01 (Europe/Paris)
Save job

RESEARCHER PROFILE: Postdoc / R2: PhD holders 
RESEARCH FIELD(S)1Computational Sciences
MAIN SUB RESEARCH FIELD OR DISCIPLINES1:
JOB /OFFER DESCRIPTION: 
Under the hierarchical authority of Professor Mouloud ADEL, the candidate will have the following missions:

  • Build an annotated database with the medical team
  • Develop segmentation algorithms using artificial intelligence techniques
  • Write scientific articles related to the project

The main activity will be: 

  • Conduct research activities related to the project.
  • Ensure scientific monitoring of the project
  • Disseminate and communicate the research results obtained

The objective of this research project is to develop digital methods to help characterise the bladder wall on 3D Magnetic Resonance Images, based on image processing techniques and machine learning approaches, in order to provide doctors with a computer-aided diagnostic tool. The main scientific issues to overcome are, on the one hand, the 3D segmentation of MRI images using semi-supervised learning techniques based on deep neural network architectures, and, on the other hand, the choice of relevant radiomic attributes for the characterisation of the bladder wall.

TYPE OF CONTRACT: TEMPORARY / JOB STATUS: FULL TIME / HOURS PER WEEK 35
APPLICATION DEADLINE: 1st January 2023
ENVISAGED STARTING DATE: 1st January 2023
ENVISAGED DURATION: 12 months
JOB NOT FUNDED THROUGH AN EU RESEARCH FRAMEWORK PROGRAMME
WORK LOCATION(S): Institut Fresnel Lab, Campus of Saint-Jérôme Aix-Marseille Université, 13013 Marseille, France

WHAT WE OFFER: 
Possibility of working remotely (2 days/week) after 6 months of contract.
Salary (before tax): 2 466,38€ to 2 891.12€ depending on experience.

Additional information: The Euraxess Center of Aix-Marseille Université informs foreign visiting professors, researchers, postdoc and PhD candidates about the administrative steps to be undertaken prior to arrival at AMU and the various practical formalities to be completed once in France: visas and entry requirements, insurance, help finding accommodation, support in opening a bank account, etc. More information on AMU EURAXESS Portal 

QUALIFICATIONS, REQUIRED RESEARCH FIELDS, REQUIRED EDUCATION LEVEL, PROFESSIONAL SKILLS, OTHER RESEARCH REQUIREMENTS 
Required education level: Doctoral level Data Sciences, Signal and image processing, applied mathematics 

Required skills: 

  • Signal and image processing
  • Advanced programming: python, C, Matlab, TensorFlow/Pytorch, ….
  • Know the architectures of Deep learning: Convolutional, Generative, ….

Soft skills: Ability to work in a group, autonomy and initiative, experience in the scientific management of a research project

REQUESTED DOCUMENTS OF APPLICATION, ELIGIBILITY CRITERIA, SELECTION PROCESS
Please send the following documents: CV & motivation letter to mouloud.adel@univ-amu.fr 

Additional contacts to apply: djamal.merad@univ-amu.frkhatia.chaumoitre@univ-amu.fr; xavier.sau@univ-amu.fr

Apply now

Fill out the form below to apply for this position.
Allowed file types: PDF, DOC, DOCX, TXT, RTF
Allowed file types: PDF, DOC, DOCX, TXT, RTF

*By applying for a job listed on Academic Positions you agree to our terms and conditions and privacy policy.

Furthermore by submitting this application, you consent to us retaining your personal data for up to 3 months for service-related purposes. We prioritize your privacy and will handle your information securely.

Job details

Title
One-year Postdoc in Signal and Image Processing/ Data Science/ Applied Mathematics (funded by A*midex)
Location
Jardin du Pharo 58, bd Charles Livon Marseille, France
Published
2023-11-06
Application deadline
2024-01-01 23:59 (Europe/Paris)
2024-01-01 23:59 (CET)
Job type
Save job

More jobs from this employer

About the employer

Aix-Marseille University is building new partnerships with socio-economic players in order to foster innovation of its graduates into the world of ...

Visit the employer page