PhD Statistical Methodology in Vaccine and Infectious Disease Research

Hasselt University announces, within the Center for Statistics, the UHasselt entity of the Interuniversity Institute for Biostatistics and statistical Bioinformatics the following position (m/f):
PhD (2x2 years) ”Statistical Methodology in Vaccine and Infectious Disease Research”
(mandate 090/32/045)
Job description
PhD in statistical methodology in vaccine and infectious disease research. The research activities are part of an interuniversity collaboration between the Institute VAXINFECTIO of the University of Antwerp, and the Center for Statistics, Hasselt University. The main interdisciplinary research themes are i) to improve and/or increase the understanding of the immune system, ii) to develop strategies for the containment of antibiotic resistance and iii) to develop new methodology in modeling infectious disease spread.
Profile

• you have a strong quantitative background;

• you are intrinsically motivated, think analytically and creatively, and work in an organised and focused manner;

• you enjoy working in an multidisciplinary environment (statistics, epidemiology, medical sciences, life sciences);

• experience in the use of statistical/mathematical software such as SAS, R, etc., is a plus.

Diploma
Licentiate, Master, or equivalent degree in (bio)statistics, mathematics, physics, biology or related field.
Offer
The appointment takes is for a period of 2 years, extendable to a total period of 4 years.
Further information

• Content job responsibilities:

  • Prof. dr. Niel Hens, +32 11-26 82 32, niel.hens@uhasselt.be

  • Prof. dr. Marc Aerts, +32 11-26 82 47, marc.aerts@uhasselt.be

• Content terms of employment and selection procedure: Jef Vanvoorden, 011-26 80 80, jef.vanvoorden@uhasselt.be

Application
Applicants must use the official application forms

• which are available at the Rectoraat of Hasselt University, Campus Diepenbeek, Agoralaan - building D, B-3590 Diepenbeek (Belgium), phone +32 - 11 - 26 80 03

• or which can be downloaded here pdf-file / Word format.

The completed application forms must reach the above mentioned address no later than Monday, February 15th 2010.

Application by e-mail will only be taken into consideration when sent to the following address: jobs@uhasselt.be.

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3 Ph.D. student position Modelling the distribution of sediment, water, carbon and energy fluxes along the hillslope

Ph.D. student position

Starting January 2010, the laboratory of Environmetry and Geomatics (UCL/AGRO/MILA/ENGE) is looking to appoint an enthusiastic Ph.D. student in the framework of a joint research project entitled “Modelling the distribution of sediment, water, carbon and energy fluxes along the hillslope”.

· About the project

A recent key area of interest is the characterization of linkage between masses and energy fluxes of water, carbon, and energy fluxes at the geomorphologic hillslope level, as their coupling induce spatially and temporally structured patterns with non negligible attached uncertainties. The final objective is to obtain a reliable model at the hillslope scale, with possible extensions at the regional level.

· Working environment

The successful candidate will lead the statistical/physical data analysis and modeling part of the project, among a team of three Ph.D. students. He/She will work mainly inside the Environmetry and Geomatics (UCL/AGRO/MILA/ENGE) research team of the Université catholique de Louvain, Louvain-la-Neuve, Belgium (http://www.uclouvain.be/mila).

· Expected candidate profile

o master diploma in bioengineering, civil engineering, physics, mathematics (statistical orientation) or equivalent diplomas.

o great fondness for statistical data analysis and modelling. Sound knowledge in physical and statistical modeling for environmental sciences is a clear benefit.

o good practice and mastering of computer software’s in statistics and mathematics (especially Matlab, but additional knowledge in SAS, R, S+ and C++ are welcome as well)

o a clear interest for a research work and for the perspective of a Ph.D. work

o good communication skills in English (written reports, oral presentation, etc.). Additional knowledge in French/Dutch is welcome as well.

Candidates will submit their detailed curriculum vitae, along with a motivation letter and two reference letters. Correspondence should be sent with the clear mention “ARC Project_Bogaert” through e-mail or regular mail to the following address:

Professeur Patrick BOGAERT

Email : patrick.bogaert@uclouvain.be

Université catholique de Louvain UCL/AGRO/MILA/ENGE

Tel : +32 10 47 36 82

Fax: +32 10 47 88 98

Croix du Sud, 2, Boîte 16,

1348 Louvain-la-Neuve, Belgique.

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