Archive for Switzerland
introduction to Bayesian methods for the social sciences (18-22 Aug, Università della Svizzera italiana, Lugano)
Posted in Books, Mountains, R, Statistics, University life with tags Antonietta Mira, Bayesian Analysis, Bayesian Methods for the Social Sciences, Lugano, R, social sciences, summer school, Switzerland, Università della Svizzera italiana, workshop on June 5, 2025 by xi'an
Bernese trilogy [15h30]
Posted in Books, Mountains, pictures, Running, Travel with tags alpine climbing, Bernese Alps, Bernese Oberland, Bernese trilogy, Eiger, Heckmair, Jungfrau, Münch, Nicolas Hojac, Nordwand, north faces, Philipp Brugger, record, Schweiz, speed climbing, Stephan Siegrist, Switzerland, Ueli Steck on April 27, 2025 by xi'an
Faculty Position in [computational] Statistics at EPFL [reposted]
Posted in Mountains, pictures, Statistics, Travel, University life with tags academic position, École Polytechnique Fédérale de Lausanne, EPFL, Genève, Lake Geneva, Lausanne, position, Professor in Statistics, statistical inference, Suisse Occidentale, Switzerland, tenure-track position on September 4, 2024 by xi'an
The School of Basic Sciences at EPFL is conducting an open-rank search for a Professor in Statistics. Appointment can be at the Tenure Track, Associate or Full Professor levels, depending on the qualifications of the successful applicant. We seek outstanding candidates with research interests in any domain of core statistical inference, including methodology, theory or applications. Indicative areas include, but are not restricted to, computationally intensive inference, large-scale and/or high-dimensional inference, and penalised and/or nonparametric inference.
At the tenured level, we expect world-leading profiles in their respective fields. At the Tenure Track level, we expect candidates showing exceptional promise to develop into world leaders. Priority will be given to the overall originality and promise of a candidate’s work rather than to any particular area of specialization.
Candidates should hold a PhD and have an outstanding record of scientific accomplishments in the field, commensurate with the rank to which they are applying. Commitment to excellent teaching at the undergraduate, master and doctoral levels is also expected. The successful candidate is expected to play an important role in the EPFL’s new MSc in Statistics.
EPFL, with its main campus located in Lausanne, Switzerland, on the shores of Lake Geneva, is a highly-international, dynamically growing and well-funded institution fostering excellence and diversity. The EPFL environment is multi-lingual and multi-cultural.
As a technical university covering essentially the entire palette of engineering and science, EPFL offers a fertile environment for multi-disciplinary research collaborations. Mathematics and Statistics at EPFL benefit from the presence of the Bernoulli Centre for Fundamental Studies on the EPFL campus, and boast a world-class faculty and outstanding facilities.
Applications should include a cover letter, a CV with a list of publications, a concise statement of research (maximum three pages) and teaching interests (one page), and the names and addresses (including e-mail) of three to five (for the rank of Assistant Professor) or five to seven (for the rank of Associate or Full Professor) referees who have already agreed to supply a letter upon request.
Application deadline: 1st November 2024
Applications should be uploaded to the EPFL recruitment page:
Enquiries may be addressed to:
Prof. Maryna Viazovska
Director of the Mathematics Institute
& Co-Chair of the Search Committee
and/or
Prof. Victor Panaretos
Co-Chair of the Search Committee
at the address stat-search.2024@epfl.ch
For additional information, please consult http://www.epfl.ch, sb.epfl.ch, math.epfl.ch
EPFL is an equal opportunity employer and family-friendly university. It is committed to increasing the diversity of its faculty and strongly encourages qualified women to apply.
Poisson-Belgium 0-0
Posted in Statistics with tags Belgium, Brazil, data-analytics, Denmark, FIFA, football World Cup, Galway, Germany, Glasgow Celtics, Glasgow Rangers, Ireland, Mexico, Nature, prediction, Scotland, Switzerland, University of Glasgow, University of Oxford, Uruguay, Warwick Mathematics Institute on December 5, 2022 by xi'an“Statistical match predictions are more accurate than many people realize (…) For the upcoming Qatar World Cup, Penn’s model suggests that Belgium (…) has the highest chances of raising the famous trophy, followed by Brazil”
Even Nature had to get entries on the current football World cup, with a paper on data-analytics reaching football coaches and teams. This is not exactly prime news, as I remember visiting the Department of Statistics of the University of Glasgow in the mid 1990’s and chatting with a very friendly doctoral student who was consulting for the Glasgow Rangers (or Celtics?!) on the side at the time. And went back to Ireland to continue with a local team (Galway?!).
The paper reports on different modellings, including one double-Poisson model by (PhD) Matthew Penn from Oxford and (maths undergraduate) Joanna Marks from Warwick, which presumably resemble the double-Poisson version set by Leonardo Egidi et al. and posted on Andrews’ blog a few days ago. Following an earlier model by my friends Karlis & Ntzoufras in 2003. While predictive models can obviously fail, this attempt is missing Belgium, Germany, Switzerland, Mexico, Uruguay, and Denmark early elimination from the cup. One possible reason imho is that national teams do not play that often when players are employed by different clubs in many counties, hence are hard to assess, but I cannot claim any expertise or interest in the game.
Stick to Science [week of action]
Posted in University life with tags action, benefits, ERC, EU, EU politics, science collaboration, Stick to Science, Switzerland, UK, UK politics on April 3, 2022 by xi'an
