Phd in Artificial Intelligence for Process Control
il y a 1 jour
**_IMEC_**
As a trusted partner for companies, start-ups and universities we bring together close to 3,500 brilliant minds from over 70 nationalities. Imec is headquartered in Leuven, Belgium and also has distributed R&D groups at a number of Flemish universities, in the Netherlands, Taiwan, USA, China, and offices in India and Japan. All of these particular traits make imec to be a top-class employer.
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University of Antwerp - imec IDLab Research group_**
The Internet & Data Lab (IDLab) is an imec research group at the University of Antwerp and Ghent University. IDLab focuses its research on internet technologies and data science. IDLab is a joint research initiative between Ghent University and the University of Antwerp. Bringing together 300 internet experts, we develop technologies outperforming current solutions for communication subsystems, high speed and low power networking, distributed computing and multimedia processing, machine learning, artificial intelligence and web semantics. Within Antwerp, where you will work, the overall IDLab research areas are machine learning and wireless networking. IDLab has a unique research infrastructure used in numerous national and international collaborations.
IDLab collaborates with many universities and research centers worldwide and jointly develops advanced technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SMEs, as well as numerous ambitious startups).
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The job_**
- In the context of process control, you will conduct academic research on Machine Learning and Deep Learning techniques to steer and optimize continuous and/or batch processes.
- You will research data-driven methodologies to close the gap between process models and reality, such as hybrid and surrogate modeling.
- You will develop novel reinforcement learning methods to determine the optimal parameters and settings of the process to obtain an optimal outcome (e.g., yield, efficiency, cost).
- You prepare a PhD dissertation on Machine Learning, modeling and (Deep) Reinforcement Learning techniques.
- You publish and present results both at international conferences and in scientific journals.
- You contribute to national and international research projects in collaboration with key players in industry.
- You interface and collaborate on a technical level with research partners, and will deploy your models in industrially relevant environments.
- You have (or will receive within a few months) a Masters of Science degree, preferably in Computer Science, Engineering, Mathematics, Physics, or related fields.
- You are fluent in python, machine learning and deep-learning tools.
- You have a keen interest in reinforcement learning and data-driven modeling.
- Having prior knowledge of process modelling and control is an advantage
- Having prior knowledge on chemical, biochemical or pharmaceutical process control is an advantage.
- Having published in high-ranking conferences and journals in the field is an advantage.
- You know how to prioritize and can deliver in time.
- You are well-organized and able to autonomously plan and execute tasks.
- You are a team player and have strong communication skills.
- Your English is fluent, both speaking and writing.
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