Professor, Head of the new Data Science Department

IMT Atlantique, is an elite French Technological University renowned for its academic excellence and cutting-edge research in the field of information science, energy and environmental technologies which is ranked in the top 10 in France. As part of its expansion and ambition to become a global leader in data science, IMT Atlantique invites applications for the position of Professor and Head of the Data Science Department within its newly established scientific organization.

Responsibilities:

1. Scientific Leadership
   • Take overall responsibility for the Data Science Department[1] within the new scientific organization, overseeing its academic and research activities
   • Define the strategic vision for the development and propose and implement plans for its growth, with a strong emphasis on data science in healthcare domain
   • Foster interdisciplinary collaboration and establish partnerships with other departments of IMT Atlantique and national and international institutions, particularly focusing on attracting top-tier talent in data science
2. Research and Technology Transfer
   • Conducting cutting edge research in data science, with a specific emphasis on healthcare data and medical information processing
   • Publish high-impact articles in internationally recognized scientific journals, showcasing practical applications in the healthcare domain
   • Secure external funding to support departmental research projects
   • Develop technology transfer to existing or spin-off companies
3. Teaching and Mentoring
   • Design and deliver high quality courses in the field of data science, encompassing advanced data analysis methods, machine learning, computer vision, image processing, computational imaging, artificial intelligence, etc.
   • Mentor and guide students in their research projects and theses
   • Contribute to student assessment and continuously enhance teaching programs
4. Collaboration and Outreach
   • Actively participate in national and international conferences and events, presenting departmental research work and establishing collaborations with renowned researchers and industry leaders
   • Cultivate and maintain a network of academic, industrial and healthcare partners to foster knowledge exchange and collaborations opportunities

[1] See a short presentation of the department in page 3

Job requirements

Required Qualifications:

• Ph.D. In data science, computer science, information processing, signal and image processing, computer vision, artificial intelligence or a related field
• Extensive teaching and research experience with a distinguished track record in data science, particularly in healthcare data analysis and processing
• Regular publications in top-tier scientific journals, demonstrating a focus on healthcare application
• Strong leadership and team management skills, including experience in supervising research projects
• Proven collaboration experience with healthcare entities such as University Hospitals, MedTech companies or medical institutions
• Excellent command of English, both written and spoken to effectively engage with national and international candidates and stakeholders
• Ability to thrive in an international and interdisciplinary environment

We encourage applications from highly qualified candidates, both from France and internationally. Applicants should submit their application package, including a detailed CV, a cover letter and at least three professional references.

We offer a stimulating work environment, state-of-the-art research resources, access to top-level students and a competitive compensation and installation package to attract the best talent in the field of data science.

Application deadline: 2023, August 28th

Recruitment interview : September

Date of recruitment : 2nd semester 2023

Documents to apply

• Application file to download HERE
• CV + cover letter
• integration project on the 3 axes Teaching / Research / Development
• photocopy of identity card or passport
• photocopy of diplomas or a certificate of success
• report of the thesis defense
• reports from the two thesis jurors
• report of HDR
• report of HDR jurors
• any other element that could support your application

Information and contact :

• christophe.lerouge@imt-atlantique.fr = > president
• catherine.hellio@imt-atlantique.fr => deputy president
• aurore.forny@imt-atlantique.fr => administrative contact

Note: All applications will be treated confidentially, and only shortlisted candidates will be contacted for interviews.

Presentation of the Data Science Department

A new scientific organization at IMT Atlantique has led to the creation of a Data Science department, whose research activities are organized around two broad areas:

• Data Science Theoretical Foundations which draw from traditional disciplines such as machine learning, statistics, optimization, signal and image processing, complexity, and computer aided decision. The scope includes the fundamental theory, techniques, methods, and algorithms underlying data science applications in various domains.
• Data Science Systems and Applications in different areas (see below).

This research is currently carried out within two laboratories that bring together IMT Atlantique, research organizations and various higher education establishments. More specifically, in the field of data science, these two laboratories are interested in:

• Data science for medical information processing within the LaTIM[1]. A number of flagship projects are developed including FollowKnee aimed at building a digital system for augmented surgery of the knee and the improved post-operative follow-up with a budget of €24M for five years https://followknee.com/ and AI-4-Child on MRI brain image analysis based on statistical learning to improve healthcare of children with cerebral palsy https://www.imt-atlantique.fr/fr/recherche-innovation/collaborer/chaires/ai-4-child a joint program with Philips company.
• Information and communication technologies for the fields of environment, sea, defense, industry 4.0 and health for the Lab-STICC[2] with outstanding projects including ValaDoE Value Added to the Energy Data https://www.imt-atlantique.fr/en/research-innovation/collaborate/chaires/valadoe on transforming data into information for decision making within the context of the energy transition, and DESEASION for collaborative maritime decision support and assessment http://recherche.imt-atlantique.fr/deseasion/#architecture.

Research work is developed in close partnership with industry[3].

In terms of teaching, the department is involved in the following areas:

• Fundamentals of mathematics, signal and image processing, computer science
• Theory and tools for data science, learning and decision-making
• Specific aspects of application fields

This new department is involved in all the training courses offered by the School at PostGraduate level (MSc in Engineering, Physician-Engineer Training, Masters and Erasmus Mundus, Doctorate) https://www.imt-atlantique.fr/en/study.

In terms of technology transfer and innovation, the department is committed to ensuring that the results of its research have an impact on industry and the economy, in the form of direct partnerships with leading companies or the creation of spin-off companies via the Made in IMT Atlantique incubator https://www.imt-atlantique.fr/fr/entreprises/incubateur. 240 start-up and spin-off companies have been supported since 1998 within this incubator including IMASCAP, now part of Stryker https://www.shoulderblueprint.com and OSO-AI https://www.oso-ai.com in the area of data science for healthcare.

[1] UMR 1101 Inserm, https://latim.univ-brest.fr

[2] UMR 6285 CNRS, https://labsticc.fr/en

[3] both directly and within the framework of the Institut Carnot TSN Télécom et Société Numérique https://www.carnot-tsn.fr