Docteur – Application of interpretable and stability/safety guaranteed Neural Networks M/F
Detail de l'annonce :
NOTRE OFFRE
CONTEXT
Capgemini Engineering, integral part of the Capgemini Group, combines,
under one brand, a unique set of strengths from across the Capgemini
Group: the world leading engineering and R&D services of Capgemini
Engineering – acquired by Capgemini in 2020 – and Capgemini’s
digital manufacturing expertise. With broad industry knowledge and
cutting-edge technologies in digital and software, Capgemini
Engineering supports the convergence of the physical and digital
worlds. Combined with the capabilities of the rest of the Group, it
helps clients to accelerate their journey towards Intelligent
Industry. Capgemini Engineering has more than 52,000 engineer and
scientist team members in over 30 countries across sectors including
aeronautics, automotive, railways, communications, energy, life
sciences, semiconductors, software & internet, aerospace & defence,
and consumer products.
VOS RESPONSABILITÉS
MISSIONS
The objective of our research project is to work on the application of
interpretable and stability/safety guaranteed Neural Networks to the
solution of real-world problems.
Under the direction of the programme supervisor and in collaboration
with data scientists within the Hybrid Intelligence team of Capgemini
Engineering, your work will consist of, among others;
* Undertaking research activities within the scope of the project and
Monitoring other research in the field (e.g. papers, conferences)
* Participate in technical reviews of the project
* Contribute to agreeing on the scientific/technical approaches to
then be applied in your project area
* Participate in meetings with industry and academic partners
* Participate in the writing of articles, scientific reports and
technical presentations
* Participate in internal Capgemini Engineering meetings as part of
the team
* Work closely with other data scientists and AI experts within the
Capgemini Engineering organisation
VOTRE PROFIL
PROFILE
* You just defended your PhD thesis in a relevant area (e.g. Computer
Science, Statistics, Applied Maths, Physical Sciences, Engineering) or
you are in post-doc
* A genuine enthusiasm for using data science, analytics, machine
learning etc to solve complex problems
* Familiarity with the mathematical underpinning of Neural Network
architectures
* Proficiency in relevant programming languages (e.g. Python, Matlab,
R)
* Familiarity with relevant libraries (e.g. data processing, ML/DL/AI
and visualization)
* Proficiency in using collaborative development tools (e.g. GitHub,
Bitbucket)
* Strong soft skills, in particular communication and collaboration
* Ability to contribute to a multidisciplinary team and to work
independently
* Fluency in French and English
Is a plus
Familiarity with Agile project processes
Knowledge of control theory
Knowledge of novel paradigms and methods in ML & AI e.g.
explainability of AI
SKILLS
* Data science, analytics, machine learning
* Neural network architectures
* Proficiency in relevant programming languages
* Familiarity with relevant libraries (e.g. data processing,
ML/AI/Deep Learning
* Proficiency in using colloborative tools (e.g. GitHub, Bitbucket)