1 Visiting Professor position
(Deadline July 6th, 2023 13:00 )
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.
Job Research Unit:
SysMA
Job Contract Type:
Contratto di lavoro autonomo
Application Form
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Selection Committee
Final decree
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)
Contacts: