Visiting Professor
Machine learning
Position opening 21 GIUGNO 2023, 13:00:
Type of contract
1 posizione Visiting Professor
Unità di Ricerca
- SysMA
Profile:
The successful candidate has competencies in machine learning within a broad spectrum of backgrounds and interests including, but not limited to:
- Active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, and time series analysis;
- Deep Learning architectures, generative models, and deep reinforcement learning;
- Statistical Learning Theory;
- Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods);
- Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness);
- Applications of machine learning to fields such as data science, economics, humanities, medical sciences, physical sciences, and social sciences.
- Active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, and time series analysis;
- Deep Learning architectures, generative models, and deep reinforcement learning;
- Statistical Learning Theory;
- Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods);
- Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness);
- Applications of machine learning to fields such as data science, economics, humanities, medical sciences, physical sciences, and social sciences.
Activity:
The candidate is expected to collaborate with members of the School on machine learning topics by means of: organization and delivery of research seminars; development of research projects; and joint grant applications.
Duration:
3 months
Gross amount:
3.000 €
Formal requirements:
- A PhD;
- the successful candidate is a professor at a university or a scientist at a research institution in Italy or abroad;
- excellent knowledge of both spoken and written English.
Selection procedure
Application
Apply ONLINE only.
Before starting prepare the application attachments and information as listed below.
Info
- Personal info and contact info (compulsory)
Attachments
- Your CV in English (compulsory)