PostDoc positions at Bocconi (Milan)

The International Society for Bayesian Analysis; Milano; In loco; EUR 30.000 - 50.000; Tempo pieno

Descrizione del lavoro

The International Society for Bayesian Analysis is seeking candidates for a research position focused on computational aspects of statistical and machine learning methods, especially Bayesian methodologies. The position offers the potential for annual renewal based on mutual agreement. Successful candidates will collaborate with supervisors and interact with faculty, postdocs, and PhD students at Bocconi University. Interested applicants can reach out via email at [e-mail] for more information. The role is based in Milano, Italy.

Competenze

• Strong background in statistical and machine learning methods.
• Familiarity with Bayesian methodologies.

Mansioni

• Conduct research on computational aspects of statistical and machine learning methods.
• Engage with various faculty members, postdocs, and PhD students.

Descrizione del lavoro

The deadline for application is 28/02/2023 and the planned starting date is 01/05/2023 (with some flexibility). Initial contracts are for 1 year and are extendable for further years under mutual agreement. Candidates will conduct research on computational aspects of statistical and machine learning methods, with a particular focus on Bayesian methodologies. The research activity, both in terms of specific topic and research approach, can adapt to the profile and interests of the successful candidates. Beyond working with the supervisor and coauthors on topics related to the grant project (see https://sites.google.com/site/gzanellawebpage/research and https://cordis.europa.eu/project/id/101076564 for more details on the research topics of the supervisor and grant project), candidates will get the chance to interact with various faculty members, postdocs and PhD students of the Stats&ML group at Bocconi (see e.g. researchers at https://bayeslab.unibocconi.eu/people and https://dec.unibocconi.eu/people ).

Interested candidates can write to [e-mail] for more information about the positions.