An Academic in Statistical and Bayesian learning

Job title:

An Academic in Statistical and Bayesian learning

Company:

Job description

Offer DescriptionAbout usUCLouvain 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 University’s staff policy is based on five pairs of values which are fundamental pillars of the way the University operates, works and lives together: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 descriptionWithin 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 mainly in the field of statistical learning, Bayesian statistics, and data science. 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

You will develop your research activities, including the management of research programs, in the area of Statistical and Bayesian learning. You should also possess the skills to deploy these methods in various domains of application with a high societal impact.You will particularly emphasize mathematical and statistical analysis of machine learning methods, applied to data analysis or prediction, via the Bayesian prism. Your expertise should complement the existing knowledge in inferential statistics and mathematical statistics at ISBA. Your research activities should lead to collaborations within the LIDAM institute, with other UCLouvain institutes close to these domains, with the SMCS (Statistical Methodology and Computing Service) technological platform, and with other academic or non-academic partners.You will publish high-level research articles in journals in the field of statistics, machine learning, and/or specific to the application domain. You will disseminate research results and scientific knowledge to both expert and non-expert audiences. You will strengthen the organization of the research team, by for example taking on responsibility and leadership, and you will supervise doctoral theses. You will inspire and supervise students while promoting equity and diversity.

• 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.

• 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 of taking up your position. Knowledge of other languages is an asset.Specifically:It will be considered an additional asset if you can demonstrate one or more of the following skills:– Willingness and ability to participate in internal and external training activities in the field of statistical and Bayesian learning.– Capacity to foster collaborations, such as supervising internships, theses, or projects with the non-academic sector and private industries active in your research areas.– Competences in statistical analysis of machine learning algorithms as well as in their implementation.What we offer

• Tenure after positive assessment of the probationary period – typically four years. This type of career entitles you to a public sector pension.
• Appointment as lecturer or professor according to your previous academic experience, as determined by the Rectoral Council.
• Teaching load capped at 90 hours for a full-time tenure-track position, and 150 hours once tenured.
• An attractive and progressive salary according to seniority and the promotion process.
• A start date of 1 September 2025 at the earliest.
• An integrated leadership and management training programme, including a range of pedagogical, linguistic and other training courses.
• Benefits including transport, family, culture, commercial, etc.
• Official policy that supports equal opportunities and promotes diversity within academic and all other categories of staff.
• Specific emphasis on a work-life balance.

Practical InformationApplication deadline: Tuesday, November 12, 2024 at noon (UTC+1 Time Zone)Starting date: September 1st 2025Location:Science and Technology Sector
(SC) ( )
(IDAM) ( )Need more information?Questions about this position:Prof. Pascal Lambrechts, Dean SC –
Prof. Catherine Legrand, President LIDAM –Questions about the procedure:
Cécile Lion, Rector’s Office,Questions about online application:
Andreea Chiriac, Rector’s Office,Interested?Apply only via the online application (applications submitted via any other channel will not be considered).To be considered, your application must contain within a single PDF:

• motivation letter (to be included in the single PDF as well as in your candidate profile);
• current curriculum vitae (to be included in the single PDF as well as in your candidate profile);
• copy of your official PhD diploma;
• full publication list and summary of 3 most significant recent publications;
• research strategy, i.e. your future 5-year research programme;
• teaching programme, i.e. your vision and teaching methods;
• If you are shortlisted and invited to an audition, you will be asked to submit:

• a Ph. D. project, with a view to taking on a doctoral student in the first year of your appointment;
• 3 to 5 letters of recommendation must be uploaded by your referees in accordance with the instructions you will be given.

For full details of the application:Where to apply WebsiteRequirementsResearch Field Computer science Years of Research Experience 4 – 10Research Field Mathematics Years of Research Experience 4 – 10Research Field Mathematics Years of Research Experience 4 – 10Additional InformationWebsite for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Université catholique de Louvain Country Belgium City Louvain-la-Neuve Postal Code 1348 Street Place de l’Université 1 GeofieldContact CityLouvain-la-Neuve WebsitePostal Code1348STATUS: EXPIREDShare this page

Expected salary

Location

Louvain-la-Neuve, Brabant Wallon

Job date

Thu, 12 Sep 2024 02:13:56 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesineu.com) you saw this job posting.