Perform innovative fundamental research on physics-informed machine learning, probabilistic modelling and deep learning; Develop applied research projects in collaboration with industrial and clinical partners in the context of probabilistic modelling for biomedical applications; Contribute to the acquisition of grants for both applied and basic research projects; Possibility to teach
Requirements:
Proven research experience on mathematical modelling, ordinary and partial differential equations, dynamical systems, machine learning and/or related fields; Ph.D. in Math, Physics, Engineering, Computer Science, or related areas (obtained or close to be obtained); Excellent programming skills with data science languages (R, Python) and libraries; Excellent mathematical skills; Good publication record
Text:
PostDoc Researcher in the area of machine learning Perform innovative fundamental research on physics-informed machine learning, probabilistic modelling and deep learning; Develop applied research projects in collaboration with industrial and clinical partners in the context of probabilistic modelling for biomedical applications; Contribute to the acquisition of grants for both applied and basic research projects; Possibility to teach Proven research experience on mathematical modelling, ordinary and partial differential equations, dynamical systems, machine learning and/or related fields; Ph.D. in Math, Physics, Engineering, Computer Science, or related areas (obtained or close to be obtained); Excellent programming skills with data science languages (R, Python) and libraries; Excellent mathematical skills; Good publication record
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