Tenure-Track Position in Artificial Intelligence for Science (Caen, France)
Frederic Jurie
Job Title: Tenure-Track Position in Artificial Intelligence for Science
Department: College of Science
Location: University of Caen, Normandy, France
Research lab : GREYC CNRS https://www.greyc.fr
Reporting To: University President
Collaborating With: Fellow Academics, Postgraduate Students
Position Level: Academic and Research
Working Hours: 64 teaching hours per year; total working hours variable due to additional research, administrative, and service responsibilities
Contract Type: Fixed-Term (4 years), with an expectation of automatic promotion to full professorship after the term
Gross salary: €43,416/year
Package: €200,000 (for recruitment of doctoral students, research funding, etc.)
Summary of the position
The University of Caen is seeking a dynamic and innovative researcher to join our faculty as a tenure-track professor in the field of Artificial Intelligence (AI) and Machine Learning (ML) for Science. This position is part of our initiative to become a leading institution in AI for transforming research across a wide range of disciplines. We are looking for candidates with a strong multidisciplinary background at the interface of AI/ML and sciences, and whose research can drive significant advancements in nuclear physics, materials science, or chemical engineering. The successful candidate will be expected to contribute to our endeavour of leveraging AI/ML to make discoveries in these fields and to explore the societal impacts of these technological advancements.
Main Duties
Lead pioneering research projects integrating AI/ML with nuclear physics, materials science, or chemical engineering to drive significant scientific advancements.
Interdisciplinary Collaboration: Work with interdisciplinary teams to leverage AI/ML for discoveries across the above scientific disciplines.
Secure Funding: Obtain external funding from national and international agencies to support and expand research initiatives.
Teaching and Mentorship: Teach and mentor undergraduate and graduate students.
Scholarly Publications: Publish research findings in top-tier academic journals and present at prestigious international conferences.
Community Engagement: Engage with the broader scientific community and the public to communicate the societal impacts of AI/ML advancements.
Curriculum Development: Contribute to the development and enhancement of the AI/ML curriculum within the College of Science.
Service Responsibilities: Participate in departmental, college, and university service activities, including committee work and outreach programs.
Expected Qualifications
Educational Background: A Ph.D. in one of the following fields: Computer Science, AI, ML, Applied Mathematics, Material Sciences, Chemistry, Nuclear Physics.
Research Experience: At least 4 years of postdoctoral research experience.
Expertise: Demonstrated expertise in applying AI/ML to scientific research, with a strong publication record in top-tier journals.
Funding: Proven experience in securing research funding from competitive sources.
Communication Skills: Excellent communication and collaboration skills, with a track record of interdisciplinary teamwork.
Mentorship: Experience in advising and mentoring graduate students.
Teaching: Demonstrated teaching experience at the undergraduate and/or graduate level.
Innovation: A strong commitment to innovation and the ability to translate research findings into practical applications.
Leadership: Potential for leadership in developing new research initiatives and contributing to the strategic goals of the university.
Language : knowledge of French is mandatory for teaching.
Application
Research Statement: A detailed statement outlining your research interests, goals, main contributions and achievements.
Significant Publications: A list of your five most significant publications, along with a portfolio showcasing your research contributions.
Research Project Proposal: A comprehensive proposal of your intended research project, including objectives, methodology, expected outcomes.
Implementation Plan: A description of how you plan to implement the research project at the University of Caen, including potential collaborations, required resources, and a timeline.
How to Apply
Applications are to be submitted through the following site: : https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/cand_CPJ.htm
The application file has to be filled in with this template:
https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/CPJ/CPJ_applicationform.docx
If you're having trouble with the online submission procedure (which may seem complex at first), we'll be happy to help.
Important dates
Application Deadline: September 15, 2024
Notification of Decision: By the end of October 2024
Position Start Date: December 2024
Contact
For further information, please email Frederic Jurie at frederi...@unicaen.fr, using 'AI for Science Tenure-Track Position' as the email's subject.
In addition, the official presentation of the position (in French and English) is available here: https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPublies/FIDIS/0141408E/FOPC_0141408E_4698.pdf