Lecturer position 0855 ISIMA/LIMOS - Combinatorial optimisation and operational research or Data management and Artifical intelligence

Teaching profile

ISIMA is a scool of computer science engineering at Clermont Auvergne INP, part of the Clermont Auvergne University and a member of the INP group. ISIMA offers degree courses in computer science engineering (around 430 students), master's degrees in computer science (around 150 students) and bachelor's degrees in computer science (around 350 students). 

The candidate is likely to be involved in all ISIMA degrees. The teaching requirements are very varied, covering specialized or general topics such as programming, software engineering, object-oriented design and programming (UML, C++, Java), web programming, optimization and decision support, databases, machine learning, artificial intelligence, operating systems, cloud computing and distributed architecture, IoT (Internet of Things) and embedded systems. The candidate is expected to teach in a subset of these areas.

 The candidate will be part of ISIMA's teaching team, comprising around 45 teachers and teacher-researchers. The candidate will be expected to participate in the school's collective tasks and missions of general interest. External applications are strongly encouraged.

Research profile 

 We are looking for candidates with expertise in one of the following two areas: 
1. Combinatorial optimization and operations research in general. Additional expertise in robust optimization, stochastic optimization and/or approximation algorithms would be appreciated.  
2. Big data management and/or data mining, machine learning and artificial intelligence. 

Priority will be given to applications with a solid theoretical foundation.  Expertise in practical applications, particularly in relation to the themes of the Cap 2025 I-SITE International Research Center, “Innovative Systems and Services for Transport and Production”  will be valued.

The successful candidate will join one of the three LIMOS laboratory axes:

- MAAD (Models and Algorithms for Decision Support):  with a strong research focus on combinatorial optimization, continuous optimization, graph theory, discrete geometry and lattices.
- ODPS (Outils Décisionnels pour la Production et les Services):  with a strong research focus on mathematical programming, Markov Decision Processes and Discrete Event Simulation, with a real application bias in production management, transportation, microelectronics manufacturing, supply chains and inventory management.
- SIC (Systèmes d'Information et de Communication):  theme Data, Services and Intelligence (DSI). This theme focuses on issues related to the management and optimization of large volumes of data, and their analysis using data mining, machine learning and artificial intelligence techniques.

More informations below