Post-Doctoral Research Visit F/M Randomized methods for linear systems and eigenvalue problems



August 12, 2022


2022-05188 - Post-Doctoral Research Visit F/M Randomized methods for linear systems and eigenvalue problems

Contract type : Fixed-term contract

Renewable contract : Oui

Level of qualifications required : PhD or equivalent

Fonction : Post-Doctoral Research Visit


This project takes place in the context of ERC Synergy project EMC2, which is an interdisciplinary project that carries out innovative and cutting-edge research at the interface of physics/chemistry, computer science, and mathematics. Molecular simulation is an active field of research with applications ranging from drug design to material science and nanotechnology. However, molecular simulation still has strong limitations. In particular, the simulation of very large molecular systems remains out of reach today. Overcoming these limitations is difficult and provides mathematicians with a range of challenging and exciting problems to solve.

More details available at

https: //


The specific topic of interest is the usage of randomization techniques for solving eigenvalue problems and linear systems of equations arising in particular in molecular simulations. These problems are characterized by large scale, high dimensions, and high ranks. Randomization is a powerfull technique that allows to represent high dimensional vectors by their low dimensional random projections while preserving some geometry. In collaboration with other members of the project, the developed methods and algorithms will be validated on several applications of interest.

Main activities

- design of algorithms, study of their stability, implementation and testing on relevant applications


Technical skills and level required : Phd in applied mathematics or computer science. Experience in linear and/or multilinear algebra is desirable. Knowledge of randomization techniques and/or parallel computing will be a plus but it is not required.

Benefits package
  • 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
  • General Information
  • Theme/Domain : Numerical schemes and simulations Scientific computing (BAP E)

  • Town/city : Paris

  • Inria Center : CRI de Paris
  • Starting date : 2022-09-01
  • Duration of contract : 12 months
  • Deadline to apply : 2022-08-12
  • Contacts
  • Inria Team : ALPINES
  • Recruiter : Grigori Laura /
  • About Inria

    Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.

    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.

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