PhD/Postdoc positions in Machine Learning/Data Mining for Personalized Cancer Screening, Simula and Cancer Registry of Norway (Oslo, Norway)
29 October 2019Funded PhD Opportunity, University of Manchester, Sept 2020 start
29 October 2019PhD/Postdoc positions in Machine Learning/Data Mining for Personalized Cancer Screening, Simula and Cancer Registry of Norway (Oslo, Norway)
29 October 2019Funded PhD Opportunity, University of Manchester, Sept 2020 start
29 October 2019
PhD in Statistics and Computer Science
Call for applications for PhD student positions
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The Bocconi PhD School provides 7 scholarships for the PhD in Statistics and Computer Science, and a position with tuition waiver.
* Scholarship amount *
20.280 euro per annum in the 1st and 2nd year
15.343 euro per annum in the 3rd and 4th year
Further funding is available through teaching and research assistantship.
Visit www.unibocconi.eu/admissionphd for detailed information.
** Applications are due by February 3, 2020 **
Within the PhD School at Bocconi University, the four-year PhD program in Statistics and Computer Science is a high profile and rigorous doctoral program that develops strong mathematical, statistical, computational and programming backgrounds.
The curriculum is structured into two tracks: Statistics and Computer science. The first year includes courses that are compulsory for all enrolled PhD students. The second-year features track-specific and elective courses that provide students with a more specialized competence and focus on topics that may be the object of the doctoral dissertation.
Dedicated mentorship is offered to students throughout their time at Bocconi. Multidisciplinary interchange with other graduate programs in Bocconi’s PhD School, as well as research experience abroad, are also encouraged.
The Faculty includes internationally acknowledged top researchers in Statistics, Computer Science, Decision Theory, Statistical Physics and Machine Learning. The program also benefits from contributions of authoritative visiting professors who deliver short monographic courses.
Highly qualified and motivated students with M.Sc. degrees in in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering and related areas, as well as other quantitatively-oriented fields, are encouraged to apply for admission.
Applicants should hold or be on their way to hold a graduate degree or equivalent.
For further information about the PhD program in Statistics and Computer Science at Bocconi, visit www.unibocconi.eu/phdstatscompscience and feel free to contact:
Antonio Lijoi, PhD program director (antonio.lijoi@unibocconi.it)
Angela Baldassarre, PhD administrative assistant (angela.baldassarre@unibocconi.it)