Recruitment of a tenure-track / assistant researcher in machine learning and robotics

MINES ParisTech is hiring an assistant researcher in machine learning and robotics

To develop its research and higher education activities in the field of complex systems and robotic systems, MINES ParisTech, member of PSL University, opens an Assistant Researcher position in Robotics with a focus on Machine Learning (the scope of the position is rather broad and open). At MINES ParisTech, an Assistant Researcher (assistantde recherche) is a junior faculty member due to have a permanent position at the end of the three-year tenure track;this position is essentially focused on research, with some teaching activities as well. Equivalent positions outside France would be lecturer or assistant professor; an “assistant de recherche” has quite a large level of autonomy. This position is opened as a fixed-term contract (initial period of one year, renewable, see next paragraph) and is aimed at a young researcher (3 to 10 years after PhD) willing to develop multidisciplinary research combining fundamental and applied sciences related to Machine Learning with applications to Robotics. The selected candidate will have the opportunity to work in close cooperation with industrial partners and will participate in the contractual research studies of the team. Candidates have the opportunity to define a PhD thesis subject during the first year of their stay at the Centre ; and to then co-supervise this thesis with an experienced member of the Centre (holding an habilitation to direct researches – HDR in French). This position is meant to evolve into a permanent position within a timeframe of 3 years as part of a process of tenure track, with a very high rate of success. Applicants may find a description of this process on the site of MINES ParisTech, at the following address: http://www.mines-paristech.fr/Ecole/Recrutement/Travailler-a-MINES-ParisTech/ (in French).

Research at MINES ParisTech

ParisTechMINES ParisTech conducts research across a very wide spectrum of scientific fields, in synergy with its teaching activity. Its eighteen research centres are divided into five departments: Earth and Environmental Sciences, Energetics and Processes, Mechanics and Materials, Mathematics and Systems, and finally Economy, Management and Society. MINES ParisTech research aims at both academic excellence and socio-economic impact. This research model consists of a close connection with the socio-economic world: public and private companies, as well as public institutions and administrations. MINES ParisTech is ranked first in France in terms of magnitude of its research contracts, supported by Armines, the Mines ParisTech Foundation, or MINES ParisTech. This specificity allows for staff expansion and maintaining its unique experimental platforms, that are highly appreciated by its partners. This ability of MINES ParisTech and companies to work together on ambitious scientific and industrial projects is recognized nationally and internationally. To name a few: the Carnot certification label was renewed in 2016 (by the Ministry of Higher Education and Research) and MINES ParisTech was ranked 23rd on the QS World University Rankings by subject and in the top 100, 150 and 300 of the Shanghai engineering thematic rankings. In 2016 the CNRS silver medal was awarded to Madeleine Akrich, two industrial chairs were funded within the program of the ANR (National Research Agency).

The centre for Robotics

ROBOTICSThe Centre for Robotics (http://caor-mines-paristech.fr/en/home/ ), which consists of about twenty permanent members and about the same number of doctorate students, is one of the main research centres of MINES ParisTech
within the “Mathematics and Systems” department. Set on Saint-Michel boulevard, right in the centre of Paris on the school’s historical site, the Centre conducts research studies primarily applied to the sectors of Intelligent Vehicles, Intelligent Transportation Systems as well as Industrial and Service Collaborative Robotics, with a focus on:

  • Intelligent perception, learning and interactions (in particular, real-time recognition of shapes and gestures)
  • Cooperative planning of actions and movements, control and state estimation in robotics and aeronautics
  • 3D mobile mapping using LIDAR-generated 3D point clouds
  • Augmented and virtual realities
  • Intelligent industrial and logistic systems using Machine Learning and Data Science

It is worth noting that Artificial Intelligence and particularly Deep Machine Learning are becoming an increasingly essential component of all these themes. The Centre for Robotics pursues research in AI and Machine Learning (ML) within algorithmic and experimental research studies, seeking to adapt models and methods at the forefront of the field AI/ML to the needs of our key sectors of application: Autonomous Systems and Vehicles, Intelligent Transportation; Collaborative and/or Mobile Robotics for the Industry of the Future, and for logistics or services.
Lastly, the Centre for Robotics is also deeply committed in the engineering programme (Master's Degree in Science and Executive Engineering) and is in charge of courses of the core engineering curriculum of the school, specialized teachings and optional courses. It is also significantly engaged in the teaching of ParisTech Shanghai (http://speit.sjtu.edu.cn/indexfn.html). In addition, the Centre had created a new Post-Master’s Degree - Mastère Spécialisé, AIMove (http://aimove.eu/) focused on AI and movement, for Human-Robot and Human-Machine interactions.

Position description

The candidate is expected to be able to perform fundamental and applied research in – broadly speaking - the area of machine learning and robotics. They should be autonomous and able to build research projects in collaboration with academic and industrial partners.

Research

The Centre for Robotics seeks to deepen its expertise in Machine Learning applied to one of the aforementioned themes (hence on a wide scope). This could for example include supervised learning techniques, typically in vision, in 3D or using data fusion, for detection, classification or Semantic segmentation; the Center for Robotics also wishes to strengthen its expertise on non-supervised (or semi-supervised) learning techniques. Reinforcement learning is also one of the research axes that the Centre could develop further (Reinforcement Learning or Inverse Reinforcement Learning): the combination of classical control techniques - for which the Centre has been awarded several international prizes (invariant Kalman filter) - with learning techniques is also a major axis. These examples are not exhaustive and the Centre for Robotics is entirely disposed toward considering other subjects, as long as it reinforces an existing research axis. All outstanding candidates shall be thoroughly considered even if their field of expertise does not fall exactly into the profile, since the Centre for Robotics works across various fields already, and covers a broad application area.
The Centre for Robotics has acquired an international reputation: for instance, industrial companies Peugeot, Valeo and Safran have given 4 M€ to the Centre for Robotics (Prof. de La Fortelle) to constitute the Drive for All chair in collaboration with UC Berkeley (USA), Shanghai Jiao Tong University (China) and EPFL (Switzerland); the Intelligent Vehicles Symposium IEEE conference was organized by the Centre for Robotics in June 2019 in Paris; Prof. Bonnabel was awarded the 2017-2019 Automatica Paper Prize. The candidate shall contribute to this excellence.
The selected applicant will develop research studies in the field of machine learning applied to robotics. They will contribute to the supervision of doctoral students, post-doctoral researchers, and interns, while developing their own research theme. They will need to:

  • Publish in the best scientific journals in the field;
  • Carry out research at high scientific level that contributes to solving industrial or societal challenges;
  • Suggest new research orientations in accordance with the Center for Robotics’ strategy and in coordination withthe other permanent researchers;
  • Write research proposals in the context of national and European call for projects and set up projects incollaboration with the industry while maintaining the scientific standards.
 
Teaching

The selected candidate shall contribute to the teachings and educational projects conducted by the Centre for Robotics in the engineering programme (Master's Degree in Science and Executive Engineering), the post-Master’s degrees (Mastères Spécialisés), the training programmes, and possibly also at ParisTech Shanghai. The candidate should have the ability to create new courses or training programmes. The candidate should be able to deliver lectures in English, as well as having an experience with digital learning and an ability to innovate in terms of teaching activities.

 
Candidate qualifications

The position is aimed at a researcher who graduated from a University or a Grande Ecole (French or equivalent level) and holds a PhD in a field within the research theme (or a related topic). A post-doctoral stay in another institution will be greatly appreciated. A meaningful experience abroad is desirable. An experience in digital learning would be appreciated also. The candidate should be a “team player”, in order to develop their research activities in collaboration with the lab members at the Centre for Robotics or at other French and foreign laboratories. The candidate will be called upon to collaborate to the set-up and coordination of projects associating theoretical research and numerical experiments. Mastery of spoken and written English is essential and the ability to teach in English (including abroad) is necessary. The candidate should have an exceptional ability for research, and should show interest for applied research. It should be noted that the potential to conduct research within the scope of the Centre for Robotics’activities will be greatly valued, even if the PhD thesis of the candidate does not fall precisely into the topic of Machine Learning and Robotics.

Application file

The application file shall include the following elements:

  • cover letter
  • proposed research project, articulated with Centre for Robotics research themes
  • detailed CV
  • work and publication list
  • Thesis and defense reports
  • If possible, 3 reference letters which will be personally addressed to us by referees chosen by the applicant.If not, the file will include at a minimum the names and contact details of three recognized scientists whocan be consulted for an opinion on the works and competencies of the candidate.

The candidate should not hesitate to contact members of the Centre for Robotics
The application file must be sent by April 30, 2021 at the latest, to the following address:


Prof. Arnaud de La Fortelle
Centre de Robotique - MINES ParisTech,
60, Bd St Michel
75006 PARIS,
and/or by e-mail at
arnaud.de_la_fortelle@mines-paristech.fr