Compagnie

KU LeuvenVoir plus

addressAdresseOude Markt 13 Louvain, Belgique
CatégorieEnseignement

Description de l'emploi

Center for Industrial Process Technology group performs research on the development of new technologies and their implementation in existing chemical processes. The research group focuses on the miniaturization and intensification of chemical production processes and valorization of waste products. Technologies include the use of ultrasound, green chemicals, continuous reactors, photo chemistry and artificial intelligence.

Project

You will have your dedicated research project on applying artificial intelligence techniques to intensify chemical processes. The aim of the project is the creation of a methodology to execute in-silico process intensification. Therefore, the project will involve both simulation work and lab experiments to validate the obtained results. The simulation work will be based on integrating Python AI algorithms with commercial software to generate new process equipment configurations. Once the system is in-silico optimized, the configuration will be tested in real-life scenarios. 

Profile

Master’s degree in chemical engineering with a strong interest in artificial intelligence application 

Proven solid coding background in Python. The knowledge of Julia, and/or MatLab, and/or C# is a plus. 

Experience with lab work and computational flow dynamic software (e.g., COMSOL Multiphysics, Fluent) is a plus. 

Team player, motivated and eager to learn 

Excellent written and oral communication skills in English 

Ability to work in an interdisciplinary, international and collaborative environment 

Self-motivated, enthusiastic and being able to organize and prioritize own workload 

Offer

Duration: 4 years 

Starting date: ASAP 

A position in a stimulating, interdisciplinary and international environment. 

Access to world-class research facilities. 

Interested?

For more information, please contact Prof. Enis Leblebici (muminenis.leblebici@kuleuven.be) or Ulderico Di Caprio (ulderico.dicaprio@kuleuven.be). 
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.

Refer code: 2395699. KU Leuven - Le jour d'avant - 2024-01-01 19:41
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KU Leuven

Oude Markt 13 Louvain, Belgique

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