Call for Application: 1 Researcher Position, Ancona, Italy
The Center for Philosophy, Science, and Policy at the Marche Polytechnic
University
(https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcpsp.univpm.it%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Cd0f7aae56c34449f89f908dbf4244400%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638372208814889079%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=jDwoT2GMcKuENHtksA6XK%2F%2FSPytH4PyFCOF2KfJv1RM%3D&reserved=0)
is looking for candidates for a full (100%) researcher position (assegno di
ricerca) within the PRIN PNRR project Controlling and Utilizing Uncertainty in
the Health Sciences, coordinated by Alexander Gebharter (Ancona) and Lorenzo
Rossi (Turin). The contract will be for 2 years and begins on March 1, 2024.
Candidates
Candidates have to possess a PhD in philosophy, logic, mathematics, statistics,
informatics, the health sciences (esp. medicine, pharmacology, public health),
or any other discipline in the vicinity of the project’s research foci (for
details see below). They will have experience as postdoctoral researchers and
possess an excellent research profile documented by top-level publications in
their respective fields at an international level. We are especially interested
in candidates that have a formal background.
The Project
The positions will be part of the PRIN PNRR project Controlling and Utilizing
Uncertainty in the Health Sciences. The project is a cooperation between
research teams from the Marche Polytechnic University at Ancona (Andrea
Carsetti, Aldo Dragoni, Alexander Gebharter, Barbara Osimani) and the
University of Turin (Vincenzo Crupi, Andrea Iacona, Lorenzo Rossi). It will
last for 2 years. The project aims at systematically exploring the
infrastructure of different types of uncertain inferences in the health
sciences. It aims at utilizing a diverse set of formal tools in order to model
these types of inferences and at applying these models to concrete cases. It
develops a principled way to minimize or utilize uncertainty and provides a
rigorous method to reduce the risks in developing health policies based on data
and results that are usually connotated by severe epistemic uncertainty or
ambiguity.
Research environment
The successful candidate will join the team based in Ancona. They will have the
opportunity to visit the unit in Turin for several months. Both
interdisciplinary research centers consist of local and external members from
many different backgrounds such as Philosophy, Medicine, Economics, Statistics,
Informatics (with focus on ML and AI). There are plenty of research activities
such as regular talks given by leading experts in their fields, reading groups,
and workshops.
Application
Candidates may submit their application by sending an email with the subject
line “APPLICATION - SURNAME NAME” to a.gebhar...@univpm.it by December 31,
2023. Submissions should include a full CV (including a list of publications),
3 selected papers, and a copy of the candidate’s PhD certificate (in English or
Italian). In early January, candidates may be invited by email to upload their
application via the university's web page for final consideration. Interviews
will be organized online via MS Teams and will take place in the second half of
January. The successful candidate will be informed shortly after.
Interested candidates may contact the project’s principal investigator
Alexander Gebharter (a.gebhar...@univpm.it) at any time for questions about the
announced position.
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