Professor at CY Université – LAMBE

Dim Materre; Cergy; Sur place; EUR 45 000 - 70 000; Plein temps

Résumé du poste

A prominent educational institution in Île-de-France is seeking a university professor to join the LAMBE laboratory. The successful candidate will contribute to teaching bioinformatics, computer programming, and provide supervision at the doctoral level. Additionally, expertise in computational chemistry, AI methods, and the ability to process experimental data will be crucial. The position requires a PhD and offers a chance to innovate in both teaching and research, aiming at developing interdisciplinary modules and supervising research projects.

Qualifications

• Expertise in AI applied to biophysics and experimental data analysis.
• Solid background in computational chemistry and bioinformatics.
• Experience in supervising internships and PhD theses.

Responsabilités

• Contribute to teaching in bioinformatics, mathematics for biology and programming.
• Supervise Doctoral School courses and develop innovative teaching modules.
• Conduct research in computational chemistry and data processing.

Connaissances

Computational chemistry

Bioinformatics

AI methods

Computer programming

Molecular simulation

Data processing

Formation

PhD in a relevant field

Description du poste

Applications must be submitted by 3 April 2026 (4.00 pm) via the ODYSSEE application for a start date of 1 September 2026.

The LAMBE laboratory at the University of Cergy-CY Paris is seeking a university professor with a background in computational chemistry, bioinformatics and AI applied to biophysics, nanopore technology and signal analysis, with expertise in computer programming and molecular simulation.

Teaching profile

The successful candidate will contribute to teaching in:

• Bioinformatics and modelling, biostatistics, mathematics for biology;
• Computer programming and molecular simulation;
• Supervision of courses and seminars at the Doctoral School;
• Design and development of innovative teaching modules within the framework of the European EUTOPIA alliance.

He or she will contribute to the creation of innovative modules at Master’s and PhD level on the application of bioinformatics, biostatistics and modelling to experimental data, and will supervise internships, tutored projects and PhD theses.

Research profile

Computational chemistry, bioinformatics and artificial intelligence (AI) applied to the analysis of experimental data in biophysics. The successful candidate must have solid expertise in:

• processing complex, multidimensional and noisy data from experimental devices (nanopores, micropipettes, AFM, microfluidics); artificial intelligence methods (machine learning, neural networks, clustering, multiparametric analyses);
• computer programming, molecular simulation and bioinformatics for modelling and analysing biomolecules; experimental chemistry and biophysics