An Academic in High Dimensional Spatio-temporal Data

Il y a 4 mois

LouvainlaNeuve, Belgique UCLouvain Temps plein

**Reference**: 36622 / SC 049 / 2025
UCLouvain seeks to recruit
A full-time academic in High Dimensional Spatio-Temporal Data
**Main campus**: Louvain-la-Neuve
About us
UCLouvain is in the top 1% of universities worldwide. Founded in the heart of Europe in 1425, the university brings together 40,000 students and 6,000 staff members on 9 campuses in Brussels and Wallonia. Research and education activities are organised in 20 faculties, 23 research institutes, 5 learning centres and 18 libraries. UCLouvain also has two university hospitals.
UCLouvain is a major player in the transition to a sustainable society. The challenges of the ecological crisis are integrated into courses and the university develops numerous local projects (such as a university farm and sustainable campuses). As a digital university, UCLouvain is involved in open science and education, and trains academics in innovative teaching practices through its Louvain Learning Lab. Thanks to two science parks, the university’s research benefits from interaction with 250 companies and 3 incubators, which is fuelled further by being at the centre of a region driven by technological innovation.
UCLouvain has a long tradition of international collaborations for teaching and research through partnerships across the world. As a member of the Circle U. European University alliance, the university offers a unique opportunity to work in an environment of interconnected campuses across Europe (London, Paris, Berlin, Vienna, Pisa, Belgrade, Aarhus and Oslo).
The Louvain Institute of Data Analysis and Modeling in economics and statistics (LIDAM) is a research institute that combines methodological and applied research gathering more than 200 researchers and consultants. The position to be filled will be in the ISBA pole (Institute of Statistics, Biostatistics and Actuarial Sciences), internationally recognized research center.
Within the Faculty of Sciences, the position to be filled will be located at the LSBA (Louvain School of Statistics, Biostatistics and Actuarial Sciences) which is in charge of the Masters in Statistics, general orientation and biostatistics orientation, the Masters in Data Science, statistics orientation and the Masters in Actuarial Sciences as well as of many statistics courses in other programs (bachelor and master level) of UCLouvain.
The ISBA and LSBA work closely together to provide a varied and stimulating teaching context and an ambitious research environment around methodological research projects, applied research projects and consultancy projects.
Post description
Within the Faculty of Science (SC) and the Louvain Institute of Data Analysis and Modeling in economics and statistics (LIDAM), Science and Technology Sector, this position will include the following teaching, research and community service duties:
Teaching
You will teach in the field of statistics and data science. In particular, you will teach high-dimensional spatio-temporal data analysis, data analysis and time series analysis. Your teaching will be mainly in Masters in Data Science and in Statistics but you also will provide foundational statistics course for undergraduate students within the Faculty of Sciences, and potentially beyond, in other faculties within or outside the science and technology sector.
You will work with your LSBA colleagues to implement didactic innovation in your courses.
You will supervise master theses for students, based on your expertise.
Research
In addition
Once tenured, you will carry out various service activities and responsibilities within the institution, such as being a member of a programme committee or examination committee, or having management responsibilities within the faculty or research institute.
You will also contribute to serving society, particularly in the economic, social, cultural or development cooperation fields. Finally, you will ensure, through research and teaching activities, the university’s international visibility.
Who we’re looking for
Education
You have a PhD in Statistics or Data Science (or comparable field). You have completed it with an extended study period abroad or significant experience outside your home institution.
Experience
You have a proven track record in university teaching, with evidence where possible by formal evaluations. Your scientific experience is demonstrated by publications of international standing.
You have supplemented this with an extended stay or significant experience abroad, outside the institution that awarded your doctorate.

**Skills**:You are comfortable working as part of a team of academics and integrate research results into your teaching. You are capable of conducting high-level scientific research, from obtaining funding to team management. You are creative, open to pedagogical innovation and multidisciplinary.
You can communicate in French and English. If this is not the case, you undertake to acquire a command of these two languages within two years o

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