Contract type : Public service fixed-term contract
Renewable contract : Oui
Level of qualifications required : PhD or equivalent
Fonction : Tempary Research Position
About the research centre or Inria department
The Inria Sophia Antipolis - Méditerranée center counts 37 research teams and 9 support departments. The center's staff (about 600 people including 400 Inria employees) is composed of scientists of different nationalities (250 foreigners of 50 nationalities), engineers, technicians and administrators. 1/3 of the staff are civil servants, the others are contractual. The majority of the research teams at the center are located in Sophia Antipolis and Nice in the Alpes-Maritimes. Six teams are based in Montpellier and a team is hosted by the computer science department of the University of Bologna in Italy. The Center is a member of the University and Institution Community (ComUE) "Université Côte d'Azur (UCA)".
The successful candidates will work in the Inria Epione lab. (https://www.inria.fr/equipes/epione) ideally located at the heart of the French Riviera, close to Nice, Monaco, Cannes and Antibes (France), within the framework of the European Research Council (ERC) Advanced Grant G-Statistics (Geometric Statistics) started on Sept. 1st 2018 for a duration of 5 years.
At the crossing of geometry and statistics, G-Statistics aims at grounding the mathematical foundations of geometric statistics and to exemplify their impact on selected applications in the life sciences.So far, mainly Riemannian manifolds and negatively curved metric spaces have been studied. Other geometric structures like quotient spaces, stratified spaces or affine connection spaces naturally arise in applications. G-Statistics will explore ways to unify statistical estimation theories, explaining how the statistical estimations diverges from the Euclidean case in the presence of curvature, singularities, stratification. Beyond classical manifolds, particular emphasis will be put on flags of subspaces in manifolds as they appear to be natural mathematical object to encode hierarchically embedded approximation spaces.
In order to establish geometric statistics as an effective discipline, G-Statistics will propose new mathematical structures and characterizations of their properties. It will also implement novel generic algorithms and illustrate the impact of some of their efficient specializations on selected applications in life sciences. Surveying the manifolds of anatomical shapes and forecasting their evolution from databases of medical images is a key problem in computational anatomy requiring dimension reduction in non-linear spaces and Lie groups. By inventing radically new principled estimations methods, we aim at illustrating the power of the methodology and strengthening the “unreasonable effectiveness of mathematics” for life sciences.
Post-Doctoral (up to 2 years) / Starting Research Position (up to 4 years) is offered within the framework of the European Research Council (ERC) Advanced Grant G-Statistics (Geometric Statistics) started on Sept. 1st 2018 for a duration of 5 years.
- Contribute with a very high level research work on the scientific subjects of the ERC G-Statistics. A particular emphasis will be put on statistics and original dimension reduction methods on Lie groups and shape spaces of potentially infinite dimension, with applications to computational anatomy.
- Animate the scientific life of the ERC (seminars, working groups, etc).
- Participate to the supervision of PhD student within the ERC.
- Regular travel is foreseen to participate to seminars, conferences, etc. Travel expenses are covered within the limits of the scale in force.
Applicants for a Post-Doctoral / Starting research position must have a Ph.D thesis in mathematics related to geometry or statistics, with a publication record in high quality journals and conferences. They should justify an educational and/or work experience in both geometry and statistics, as well as in programming.
The position should be seen as an exceptional opportunity to do top-level research for a long period (2 to 4 years) on the themes of the ERC G-Statistics.
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
From 2900€ brutto per month ( depending on working experience)
- Theme/Domain :
Optimization, machine learning and statistical methods
Statistics (Big data) (BAP E)
- Town/city : Sophia Antipolis
- Inria Center : CRI Sophia Antipolis - Méditerranée
- Starting date : 2019-05-01
- Duration of contract : 4 years, 4 months
- Deadline to apply : 2019-04-30
The keys to success
- A provably good academic knowledge or work experience in both fields of geometry and statistics.
- A publication record in high quality journals and conferences.
- Interest for applications in shape analysis in life sciences and more particularly in computational anatomy.
- Willingness to discover new theroetical AND applied fields.
- Strong programming skills (including Python, R, possibly C++).
- Proficiency in English, both spoken and written.
Inria, the French national research institute for the digital sciences, promotes scientific excellence and technology transfer to maximise its impact. It employs 2,400 people. Its 200 agile project teams, generally with academic partners, involve more than 3,000 scientists in meeting the challenges of computer science and mathematics, often at the interface of other disciplines. Inria works with many companies and has assisted in the creation of over 160 startups. It strives to meet the challenges of the digital transformation of science, society and the economy.
Instruction to apply
Defence Security :
This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.
Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people with disabilities.
Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.