[Job-offers-cs] Postdoc position in statistical data science for the sciences

[Pekka Orponen]

A postdoctoral researcher position is open in Prof. Dr. David 
Ginsbourger'suncertainty quantification and spatial statistics group 
<https://www.imsv.unibe.ch/research/research_groups/uncertainty_quantification_and_spatial_statistics/index_eng.html>at 
the Institute of Mathematical Statistics and Actuarial Science, 
University of Bern, Switzerland.

*Context:*  The recruited postdoctoral researcher will be affiliated 
with Prof. Dr. David Ginsbourger's group.  The group is involved in 
collaborations with national and international partners from various 
research fields. These include geosciences, with a history of 
collaborations around stochastic modelling in hydrogeology, geophysical 
inversion, and atmospheric sciences (with links to the Oeschger Center 
of Climate Change Research). Recently, the group has also been 
increasingly collaborating with the Institute of Social and Preventive 
Medicine and the University Hospital around statistical machine learning 
for biomedical applications.

*Project:* The recruited postdoctoral researcher will reinforce the 
current efforts of the group in pushing further the limits of kernel 
methods to work with data in and beyond Euclidean settings. Of special 
interest classes are kernel embedding approaches, particularly 
well-suited to work with set- and distribution-valued inputs, but there 
is also room for further research directions depending on the 
candidate's research interests and motivation. Several ongoing or 
emerging collaborations (around paleo-climatology, psychology, medicine, 
etc.) call for thorough approaches to model similarity and estimate 
related parameters. This position will give the opportunity to 
candidates with a strong theoretical background to enrich their research 
profile with application-driven research while cultivating their passion 
for statistical methodology.

*Sought profile:* The ideal candidate will have recently earned or be 
about to finish their PhD degree in statistics or neighbouring subjects 
with a strong mathematical component, a genuine interest in statistical 
data science and applications thereof, a taste for both theoretical 
investigations and numerical experiments, and solid programming 
skills.The salary will be at thelevel foreseen by the University of Bern 
<https://www.unibe.ch/unibe/portal/content/e152701/e322683/e325053/e916384/ul_rgl_postdoc_en_ger.pdf>. 
There might be a possibility to be involved in teaching and/or 
consulting duties. The funding is secured for up to 18 months with the 
starting date of May 1st 2023 or as can be arranged by mutual agreement.

*Applications should contain*: (1) a letter in which the applicants 
describe their research interests and motivations as well as a 1-page 
research proposal, (2) a complete CV, (3) copies of relevant diplomas, 
certificates and transcript of records, (4) an electronic version of a 
research work (PhD thesis or other scientific publication), (5) contact 
information of 2 – 3 references.

Applications and inquiries should be sent to Prof. Dr. David Ginsbourger 
(respectively via thislink 
<https://ohws.prospective.ch/public/v1/jobs/6366027e-b758-42b7-9954-e734719decc0>and 
via e-mail todavid.ginsbourger at unibe.ch)



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David Ginsbourger
Bern
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