Research Intern in Science (Atomistic Modelling)

InstaDeep Ltd; Paris; On-site; EUR 11,160 - 15,624; Full time

Job summary

A leading AI company is seeking a Research Intern for their Research Team in Paris. You'll contribute to projects at the intersection of quantum chemistry and machine learning, supporting the development of innovative methods. The ideal candidate is enrolled in a PhD program in a STEM field, has programming experience in Python, and a passion for research. This internship offers the opportunity to work with top-notch industry partners, enhancing your expertise in advanced AI applications.

Qualifications

• Currently enrolled in a PhD programme or recent graduate in a STEM discipline.
• Demonstrated understanding of quantum mechanics and quantum information theory.
• Experience in running quantum chemistry computations.

Responsibilities

• Support Atomistic Modelling team with novel methods and applications.
• Design and implement experiments from proof of concept to benchmarking.
• Contribute to team research and publications.

Skills

Quantum chemistry algorithms development

Quantum mechanics

Quantum information theory

Machine learning

Python programming

Education

PhD programme in STEM discipline

Tools

qiskit

jax

pyscf

Job description

ABOUT INSTADEEP

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, New York, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast‑growing companies, and Europe's 1000 fastest‑growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.

Join us to be a part of the AI revolution!

JOB DESCRIPTION

InstaDeep is seeking a Research Intern to join our Research Team in London and Paris, working on the intersection of quantum chemistry (QC) and machine learning (ML). As an intern, you will be contributing to research projects in collaboration with InstaDeep’s research team and industry partners. Potential topics include the development of machine learning methods for quantum chemistry and their integration within downstream quantum chemistry workflows. Interns in the Research Team regularly publish at top conferences and journals.

ROLE RESPONSIBILITIES

• Support the efforts of the Atomistic Modelling team through the development of novel methods and applications under the guidance of our Research Team.
• Design and implement experiments from proof of concept to benchmarking.
• Contribute to team research and publications.
• Report and present experimental results and research findings, both internally and externally, verbally and in writing.
• Upon request, collaborate with other groups’ activities, including but not limited to presenting the company to new prospective clients, participating in calls and meetings, and representing InstaDeep in conferences/events.

REQUIREMENTS:

• Currently enrolled in a PhD programme (or recent graduate) in a STEM discipline.
• At least one of the following required, more than one is a plus:
  • Experience in developing and benchmarking quantum chemistry algorithms
  • Demonstrated understanding of quantum mechanics, and quantum information theory
  • Experience in running quantum chemistry computations
  • Research experience in quantum chemistry, computational chemistry, fundamental physics or mathematics
  • Experience in graph neural networks, or extensive experience in machine learning
  • One or more publications (or arXiv pre‑prints) related to the research topics listed above
• Programming experience with Python is required, with further experience in packages such as qiskit, jax, pyscf desirable.
• Work permit for France for the duration of the internship.