Tenure-Track Position in Artificial Intelligence for Science, Caen (France)

Job title:

Tenure-Track Position in Artificial Intelligence for Science, Caen (France)

Company:

Job description

Offer DescriptionJob Title: Tenure-Track Position in Artificial Intelligence for Science, Caen (France)Department: College of ScienceLocation: University of Caen, Normandy, FranceResearch lab : GREYC CNRS ;Reporting To: University PresidentCollaborating With: Fellow Academics, Postgraduate StudentsPosition Level: Academic and ResearchWorking Hours: 64 teaching hours per year; total working hours variable due to additional research, administrative, and service responsibilitiesContract Type: Fixed-Term (4 years), with an expectation of automatic promotion to full professorship after the termGross salary: €43,416/yearPackage: €200,000 (for recruitment of doctoral students, research funding, etc.)Summary of the positionThe 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 ApplyApplications are to be submitted through the following site: :The application file has to be filled in with this template:;If you’re having trouble with the online submission procedure (which may seem complex at first), we’ll be happy to help.Important datesApplication Deadline: September 15, 2024Notification of Decision: By the end of October 2024Position Start Date: December 2024ContactFor further information, please email Frederic Jurie at , 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: ;Where to apply WebsiteRequirementsResearch Field Computer science » Other Education Level PhD or equivalentResearch Field Physics » Other Education Level PhD or equivalentResearch Field Chemistry » Other Education Level PhD or equivalentResearch Field Engineering » Materials engineering Education Level PhD or equivalentLanguages ENGLISH Level GoodAdditional InformationWork Location(s)Number of offers available 1 Company/Institute université Caen Normandie Country France State/Province Normandie City Caen GeofieldContact CityCaen WebsiteStreet6, bd Marechal Juin Postal Code14000 E-Mail[email protected]STATUS: EXPIREDShare this page

Expected salary

€43416 per year

Location

Caen, Calvados

Job date

Fri, 19 Jul 2024 01:54:45 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesineu.com) you saw this job posting.