Research Engineer - Automatic differentiation and control

1000scholars; Valbonne; On-site; EUR 36,000 - 47,000; Full time

Job summary

1000scholars seeks a postdoctoral researcher to advance automatic differentiation techniques for optimisation and control. You will conduct bibliographic studies and implement novel AD approaches, primarily in Julia, while collaborating with CNRS researchers.

The role involves benchmarking methods, integrating code with Git-based workflows, and preparing results for scientific conferences and publications.

Qualifications

• Experience in scientific software development.
• Proficiency with Git and collaborative tools.
• Languages: Julia, C, and Fortran.

Responsibilities

• Conduct bibliographic study of state-of-the-art AD techniques in optimisation and control.
• Develop and benchmark new AD approaches, notably in Julia.
• Present results at conferences and in papers.

Skills

Scientific software dev

Git

Julia

C

Fortran

Teamwork

Tools

Git

Job description

Context

Position funded by the project PDE-AI of PEPR IA

https://pde-ai.math.cnrs.fr

Assignment

For a better knowledge of the proposed research subject :

A state of the art, bibliography and scientific references are available at the following URL:

https://pde-ai.math.cnrs.fr/nice/postdoc-nice-2

Collaboration

The recruited person will work in collaboration with Jean-Baptiste Caillau, Thibaud Kloczko, Laurent Hascoët and Jean-Luc Bouchot.

Main activities

• bibliographic study of state of the art AD techniques in optimisation and control
• develop and benchmark new AD approaches, notably in the framework of the Julia language
• present the results in scientific conferences / papers

Skills

• Technical skills and level required : scientific software dev, proficiency with collaborative tools (git)
• Languages : Julia, C, fortran
• Relational skills : work in team