Assistant Professor in Machine Learning (M/F) - 24-Month Fixed-Term Contract - IMT Mines Alès

Job description

Founded in 1843, IMT Mines Alès currently has 1,400 students (including 250 international students) and 380 staff members. The school has three research and teaching centers of high scientific and technological caliber, working in the fields of materials and civil engineering (C2MA), the environment and risk management (CREER), and artificial intelligence and industrial and digital engineering (CERIS). It operates 12 technology platforms and has 1,600 partner companies. For more information:

You will be joining CERIS, which is home to two research units: the SyCoIA (Complex Systems and Artificial Intelligence) unit, and the EuroMov Digital Health in Motion (EuroMov DHM) unit.

As an Associate Professor at the Institut Mines-Télécom, you will be responsible for teaching, research, and technology transfer.

Teaching Activities

• Participate in the engineering school’s teaching activities (general education, apprenticeship, doctoral programs, master’s degrees, and specialized master’s degrees);
• Design and teach courses in artificial intelligence, particularly in deep learning and reinforcement learning;
• Supervise research projects and internships, and mentor apprentices;
• Contribute to the school’s educational activities (examination committees, thesis defenses, tutoring, and project supervision);
• Deliver some courses in English using active learning methods.

Research Activities

• Conduct research on topics related to deep learning, reinforcement learning, the integration of machine learning and operations research, robust AI, trustworthy AI, and explainable AI;
• Contribute to the research efforts of the CORTEX project, dedicated to the development of trustworthy, robust, and human-centered AI;
• Design AI methods that address the challenges of robustness, explainability, trust, and uncertainty management.

Technology Commercialization and Transfer Activities

• Commercialize research activities through scientific publications, conferences, and participation in research networks in the field;
• Contribute to efforts to promote the MACMIA project to industrial partners, to the development of new partnerships, and to the preparation of research contracts and funding proposals;
• Provide scientific leadership and coordination for research projects in collaboration with contractual partners (leading the project team, monitoring objectives, and communication);
• Contribute to the transfer and commercialization of research results by supporting companies and the school’s incubator in developing innovations and creating spin-offs.

You can find more information in the job description here:

Job requirements

The position requires proven experience in teaching and research in the Center’s areas of focus. The candidate must be proficient in scientific English, develop collaborative research projects, promote their work to academic and industrial partners, and demonstrate an interest in issues related to artificial intelligence. International experience is preferred.

The evaluation criteria are:

Required degree: Ph.D. in Computer Science or a related field, with a strong specialization in machine learning.

Primary selection criteria for teaching activities:

• Quality of instruction provided
• Emphasis on pedagogical innovation
• Activity and reputation within the academic community

Selection criteria for research activities

• National and international recognition of research results
• Responsibilities held in the field of expertise
• Relationships with the academic and industrial communities

The exercise of leadership responsibilities, organizational activities, and participation in consultative and decision-making bodies are also taken into account in the evaluation criteria.

Application Guidelines

Please complete it only if you meet the requirements listed above.

It must be accompanied by, among other things, a resume, a cover letter, any letters of recommendation, as well as a copy of your ID card, your diplomas, and any certificates of training or internships.

Recruitment Schedule