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HEC Management School – University of Liège
HEC Management School – University of Liège (HEC-ULg) invites applications for a one year (possibly renewable) full time post-doctoral research position starting on October 1st, 2010.
Prerequisites for qualification are a Ph.D. in Statistics or in a related field. The candidate should demonstrate excellent research potential with significant international exposure. The School is especially interested in candidates with a background in the areas of mathematical statistics, nonparametrics, survival analysis, Bayesian or robust statistics with a special attention for practical applications. A limited teaching duty (in English or French) is possible (e.g. a short course on the candidate’s area of research), and participation in various scientific activities (Graduate School in Statistics and Actuarial Sciences, local seminars…) is expected.
HEC-ULg is one of the leading Belgian business schools for graduate and postgraduate programs with 60 faculty members with international recognition and more than 2400 students as of January 2010. It results from a successful merger in Liège, at the heart of Europe, between a public university (University of Liège) and a private business school (HEC Liège). The chosen candidate will have access to a dynamic research network enabling fruitful interdisciplinary collaborations. He will be part of the recently created Centre for Quantitative Methods and Operations Management (QuantOM), gathering 20 scientists and aiming at developing innovative quantitative methods in management science. The Center for Statistics will also give him the opportunity to collaborate with statisticians of the other departments of the University (Mathematical, Physical and Life Sciences, Applied Sciences, Medical Sciences, Social Sciences…) through regular contacts and seminars.
HEC-ULg is located in Liège, Belgium’s third largest city, and the largest agglomeration of the French-speaking Walloon region. Liège is the third inland port of Europe and the eighth freight airport in Europe. Recognized for its quality of life and its rich historical patrimonium, Liège is ideally situated within the Meuse-Rhin Euregio, 40 kilometers from Maastricht (the Netherlands) and 60 kilometers from Aachen (Germany). It is less than 1.5 hours away from Köln, 2.5 hours from Paris and 4 hours from London by high-speed train (TGV) starting from the new magnificent train station designed by the renowned architect Santiago Calatrava.
Candidates should send
- - a full curriculum vitae,
- - a copy of their PhD diploma,
- - a copy of their recent publications and
- - a letter describing their research interests to:
C. Heuchenne, HEC Management School, Université de Liège, Bd du Rectorat 7 (B31), 4000 Liège, Belgium (C.Heuchenne@ulg.ac.be). We encourage candidates to apply early. Applications received before June 1st will be given full consideration. Applications received after June 1st will be considered as they arrive, until the position is filled.
For further information, please contact C. Heuchenne (C.Heuchenne@ulg.ac.be).
Starting from September 2009, the Institute of Statistics of the Université catholique de Louvain, Louvain-la-Neuve, Belgium, has a vacancy for a PhD student in Biostatistics in the topic of Survival Analysis.
The position is meant to conduct research on frailty models and their application in analysis of data from clinical trials. Despite the fact that frailty models became probably the most popular model to analyse clustered survival data, very little work has been done on the choice of the frailty density. In this project, we would like to investigate further the type of dependence induced by various choices of frailty density, the impact of misspecification of this density, and aim to develop diagnostics and goodness-of-fit tests. This research has direct application to the analysis of data from multicenter survival clinical trials.
Description of the position
As a research assistant (up to 4 years’ tax-free monthly grant of about 1500 Euros) the doctoral student’s main activity is working on his/her thesis under the supervision of Prof. Catherine Legrand. Apart from conducting research that leads to journal publications and a PhD. thesis, the candidate is expected to follow the program of the Graduate School in Statistics and Actuarial Sciences and he/she can be involved on a small scale into some teaching activities of the IS.
Description of the working environment
The Institute of Statistics is a renowned research centre of high international reputation which offers a very stimulating working environment. It is equipped with modern computing facilities, a statistics library, a vivid visitors’ programme and ample funding for scientific travel. At the IS there are about 15-20 doctoral students working under the supervision of about 10 professors, in a variety of fields of methodological and applied statistics, including biostatistics and actuarial sciences. They are integrated into the Graduate School in Statistics and Actuarial Sciences which offers them an up-to-date training in their field via regular seminar series, short courses and workshops, all in English and often given by international short and long-term visitors. A high percentage of the PhD students graduate from the IS and succeed in starting a promising career, be it in academia or industry.
The IS is part of a large international research network. It has numerous academic contacts, including those to neighbouring fields (medicine, agronomy, social science, economy, finance and engineering) as well as collaborations with industry. It is placed in the heart of a modern, vivid and international university campus, in close proximity of Brussels and its international airport, and in short travel distance to other European capitals.
Required qualifications
The ideal candidate should have a degree on the master level in (Bio)Statistics or in related field. This diploma must be obtained with at least distinction or an equivalent grade.
Beside good background in statistics and mathematics, the candidate should have an interest for applied statistics in clinical settings; good programming skills and experience in the use of statistical software such as SAS and/or R is a plus.
The candidate should be highly motivated, think analytically and creatively and have a good command of French and/or English.
To apply
Applications including a curriculum vitae, a letter of motivation and two letters of recommendation should be sent before November 1st 2009, to:
Prof. Catherine Legrand
Catherine.legrand@uclouvain.be
Institut de Statistique - Université catholique de Louvain
20 Voie du Roman Pays
B-1348 Louvain-la-Neuve - Belgique
More information can be obtained from: Prof. Catherine Legrand
Email: catherine.legrand@uclouvain.be , Phone: 32 (0)10 478798
Further information on the Institute of Statistics can be obtained from http://www.uclouvain.be/en-stat.html .