Faculty of Science, Technology and Communication, The University of Luxembourg

Position ID: 633-PROFESSORMATHSTATISTICSDATASCIENCE [#12155, F1-50012354]
Position Title: Professor in Mathematical Statistics and Data Science (M/F)
Position Location: Luxembourg, Luxembourg 1855, Luxembourg [map]
Subject Area: Mathematical Statistics and Data Science
Application Deadline: 2019/01/01 (posted 2018/07/20, listed until 2019/01/01)
Position Description:    

The University of Luxembourg is recruiting for the Faculty of Science, Technology and Communication (FSTC)

Professor in Mathematical Statistics and Data Science (M/F) 

• Ref : F1-50012354 
• Permanent contract, full time (40h/week) 
• Employee status 
• Start date: 01.07.2019 

Your role 
The chair is attached to the Department of Mathematics (RMATH) and related to the Computational and Data Science priority of the university. This permanent position will be funded, for the first 5 years, by the SanDAL ERA Chair project, recently selected for funding within the European Commission’s H2020 Framework Programme, with a total budget of 2,5M€. It will allow the development of a new direction of research in Mathematical Statistics and Data Science, currently not present at the University of Luxembourg. 

The successful candidate will be expected to build a new research direction and a strong research group in Mathematical Statistics and Data Science, within the Mathematics Department (RMATH). 

(S)he will also be expected to contribute to develop interdisciplinary projects involving Statistics and Data Science across the Luxembourgish research and innovation landscape, collaborating, as required, with scientists from other fields and with industry. (S)he will have the opportunity to contribute to shaping the Computational and Data Science research priority at the University of Luxembourg. 

The new professor will be expected to develop a new program in Statistics and Data Science within the existing Master in Mathematics, and to supervise PhD candidates in Mathematical Statistics and Data Science within the Doctoral School in Science and Engineering, possibly within the Computational and Data Science cross-cutting doctoral programme. (S)he and her/his research group may also provide teaching in Statistics and Data Science at the Bachelor and Master level in other programs. 


Your profile 
The successful candidate will have made first-rate contributions to fundamental and applied aspects of Mathematical Statistics and Data Science. (S)he will have a demonstrated potential as a first-rate researcher. 

Examples of areas of research could be: Probabilistic Aspects of High-Dimensional Data, Topological Data Analysis, Computational Statistics, Signal Reconstruction and the Mathematics of Sparsity, Bayesian Methods, Computational Statistics and Statistical Modelling, Model Reduction and Selection, Statistical Inverse Problems, Rare Events, Uncertainty and Risk Quantification, Robust Estimation in Non-Linear Models, etc. 

(S)he will have a successful experience in teaching Mathematics, Statistics and/or Data Science, and be willing to contribute to the teaching missions of the university at the bachelor, master and doctoral level, as well as in administrative tasks. (S)he will have a proven track-record of administration of research, and will be willing to manage (with administrative support) the ERA Chair project funding the position.  


Qualifications, experience, aptitude 
• Ph.D. in mathematics or related field, 
• A minimum of five years post-doctoral experience in a university or comparable research centre. 

Languages 
The University of Luxembourg is set in a multilingual and multicultural context. For this position, a good knowledge of English is required, as well as a working knowledge of either French or German. 

Contact for further information 
Jean-Marc Schlenker 
Department of mathematics 
jean-marc.schlenker@uni.lu


Further Information 
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 811017 (http://ec.europa.eu/research/era/era-chairs_en.html). 

As part of the application process specifically for academic positions, please follow the instructions below. 

Candidates are asked to send an electronic copy of their full application (in English) by January 1, 2019 mentioning the job opening reference and including the following documents: 
•  cover letter; 
 •  curriculum vitae; 
 •  copies of diplomas; 
 •  list of publications; 
•  a list of at least four references with their name and email address. 

The application should be sent to the Dean of the Faculty, using the email address: deansoffice.fstc@uni.lu 

All applications will be handled in the strictest confidence. 
Link : http://emea3.mrted.ly/1w64s

Information notice about the processing of personal data in the framework of recruitment 

The Information notice (hereafter the “Notice”) intends to inform you about the processing of your personal data in the framework of the selection and recruitment. The Notice explains why and how we collect and process your personal data, how we protect them and how long we store them. The Notice also provides you with information about your rights.

The University of Luxembourg (hereafter “Uni.lu”), as controller, collects and processes your personal data, in the framework of your application to the partially H2020 funded position of Professor in Mathematical Statistics and Data Science, for the purpose of the selection and recruitment procedure and for the purpose of its contractual reporting obligations to the European Commission related to H2020. These obligations are in place to ensure an open, transparent and merit-based recruitment process, and include reporting on: the publication and advertisement of the position; the number of applications received and anonymised statistics on gender, current country of employment, research area; the candidate CVSs; the evaluation and selection procedure; and the final decision. The categories of personal data processed include your identity, your gender, your professional life, your contact details, your nationality if you communicate it, information related to your professional experiences, information related to your graduations, linguistic competencies, the photo if you decide to insert in your CV, hobbies and interests if you decide to mention in your CV. We do not process special categories of personal data such as the categories mentioned in article 9§1 of the EU General Data Protection Regulation 2016/679. If you decided voluntary to disclose special categories of personal data not requested by Uni.lu, you consent to the processing by Uni.lu of such personal data for the purpose of selection and recruitment.

During the application and selection process your personal data is being collected and processed on secured, internal Uni.lu servers.  Aggregated and anonymised candidate data will be used to the extent that the European Commission imposes for reporting on the ERA Chair recruitment procedure: the reporting will include the number of applications received and anonymised statistics on gender, current country of employment, research area.

Uni.lu has a legitimate interest to be able to evaluate the applications to the position of Professor in Mathematical Statistics and Data Science in order to select and recruit the candidates. The processing of personal data of the candidates is also necessary to take the prior measures to the conclusion of the employment contract. Uni.lu keeps your personal data for a maximum of 10 years (5 years for the project duration, plus 5 years retention period for audit purpose of the European Commission, more information can be found on http://www.bestprac.eu/fileadmin/mediapool-bestprac/documents/WS-Budapest/Fonseca_EC-Audit.pdf for the purpose of reporting and audit. 

You have the right to access, rectify, and erase your personal data as well as further rights described on the Uni.lu website. You can exercise your rights by following the procedure described on the website. Our Data Protection Officer will handle your request.


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Contact: Jean-Marc Schlenker
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Web Page: http://emea3.mrted.ly/1w64s

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