Professor, Head of the new Data Science Department
IMTAbout the role
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:
- 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
- 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
- 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
- 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
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
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