DesCartes Program is looking for one RF position in Optimization-driven hybrid AI
ABOUT DESCARTES
The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).
The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, ARIA etc.).
The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.
Read more about the DesCartes program here.
WP3 aims at
supporting the whole Descartes program in order to develop advanced optimization-based solutions in the context of hybrid AI. Any AI system or machine learning algorithm ultimately involves a formulation with an objective or loss function to be minimized. The modelling of the problem as well as the chosen objective function optimization algorithm is crucial to the success of the overall AI task. This is all the more crucial in the context of hybrid AI, which seeks to integrate physics-inspired models with machine learning algorithms. We will address this problem from two complementary angles, namely optimization-based methods and machine learning-based methods.
The Research Fellow (RF) is expected to contribute to the design and engineering of hybrid twin-based simulation and control architectures for urban critical systems using optimization-based techniques. Finally, the RF will contribute to the use cases of Descartes.
EXPERIENCE & QUALIFICATIONS
Competences in some of the domains listed below will be highly considered:
· Signal and Image processing
· Optimization
· Machine Learning.
Keywords:
1. Artificial Intelligence
2. Signal processing
3. Image processing
4. Optimization (convex, non convex)
5. Machine learning
6. Deep learning
7. Programming (python)
FURTHER INFORMATION & CONTACT
Salary range: SGD6,900 to SGD9,000 per month (depending on suitability and experience)
Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602
Interested applicants please send your resume to:
Email : [email protected]
Email : [email protected]
Email : [email protected]
– Please attach your full CV, with the names and contacts (including email addresses) of two character referees.
