Entalpic Research Fellowship

BREEGA; Paris; Hybride; EUR 10 000 - 15 000; Temps partiel

Avantages offerts par ce poste

Financial Support

Scientific Mentorship

Community & Visibility

Career Opportunities

Résumé du poste

A progressive research organization in Paris is seeking Entalpic Research Fellows to conduct PhD/postdoc research in AI and materials science. Successful candidates will engage with Entalpic's ecosystem, benefitting from mentorship and financial support. The program offers an option for a paid internship, allowing fellows to broaden their research impact. Applicants should be enrolled in relevant PhD programs and have a commitment to open-source contributions.

Qualifications

• Commit to a clear deliverable (dataset, model, method, code, etc.).
• Have publications or prior work in AI for science.
• Willing to complete a 4–6 month internship at Entalpic (for Track 2 applicants).

Responsabilités

• Pursue your PhD or postdoc research aligned with Entalpic’s strategic goals.
• Engage with Entalpic’s scientific ecosystem in collaboration.
• Contribute to open-source research and projects.

Connaissances

Fluent in Python

Experience with deep learning models

Experience with quantum simulations

Formation

Enrolled in a PhD program in machine learning, computational chemistry, or materials science

Description du poste

About The Program

Entalpic Research Fellowship is a selective initiative designed to empower exceptional PhD students & post‑doc working at the intersection of Artificial Intelligence and Materials Science. Participants join a vibrant community of scientists advancing fundamental and applied research in catalysis, energy storage, sustainability, and material discovery. They benefit from financial support, deep scientific mentorship and hands‑on collaboration—all while maintaining their academic affiliations. This program commits to supporting open research with real‑world impact.

Key Facts

• Program Duration: 12+ months
  • Track 1: Research Project
  • Track 2: Research project & 4–6 month Internship
• Start Dates:
  • Cohort 1: Apply by October 24, 2025 → Decisions in November → Start in January 2026
  • Cohort 2: Apply by February 28, 2026 → Decisions in March → Start in May/June 2026

About Entalpic

Entalpic is a young startup building the next generation of AI‑powered tools for chemistry and materials discovery. Our work combines machine learning, scientific computing, and experimental validation to accelerate innovation in catalysis, battery materials, coating and sustainable industrial processes. Backed by leading VCs, we have assembled a diverse team of scientists and engineers from top institutions like Berkeley, Google, Mila, Polytechnique, Stanford, Intel and Meta. Based in Paris, we foster a vibrant and collaborative atmosphere, transforming materials R&D to power a sustainable future.

What You’ll Work On

As an Entalpic Research Fellow, you will pursue your own PhD (or postdoc) research at your current university while engaging with Entalpic’s scientific ecosystem. Research projects are therefore expected to remain open‑source and academic in nature, but they should be aligned with Entalpic’s strategic goals & challenges, i.e. inspired by real industrial and environmental challenges. In this program, they should contribute to and be released on LeMaterial.

Main Focus

• Dataset creation, curation, and data‑centric modelling (quantum or experimental data)

Potential Focus Areas (but not limited to)

• Generative design of new materials, molecules, and surfaces
• Predictive models for properties, synthesis, and performance
• Multiscale modeling approaches (atomic → meso → macro)
• Uncertainty quantification and active learning
• Agentic science for autonomous discovery workflows

Program Benefits

• Financial Support: receive a top‑up sponsorship of 10–15k€, independent from any internship salary. This grant is flexible and can be used for travel, research expenses, conference participation, or living support.
• Scientific Mentorship: work closely with an Entalpic mentor for feedback, co‑ideation, and scientific dialogue. Monthly check‑ins, joint reading groups, and invitations to internal workshops create an ongoing collaboration.
• Real‑World Engagement: work side‑by‑side with Entalpic’s team on a strategic research direction. For the internship track, complete a 4–6 month paid internship in Paris, tailored to the candidate’s background and interests, potentially involving core in‑house R&D projects.
• Community & Visibility: join a small cohort of peers, present your work at internal and external events, and gain visibility through Entalpic’s network of partners and collaborators. Earn recognition as an “Entalpic Research Fellow 2026”.
• Career Opportunities: upon completion of the PhD, top‑performing participants may be offered a full‑time research or engineering position at Entalpic.

Who Should Apply

• Be enrolled in a PhD program in machine learning, computational chemistry, materials science, or related fields.
• Commit to a clear deliverable (dataset, model, method, code, etc.) to be released on LeMaterial before the end of the program.
• Have publications, open‑source contributions, or prior work in AI for science.
• (For the internship track) Be willing to complete a 4–6 month internship at Entalpic — starting in January or May/June.

Bonus Qualifications (not required but appreciated)

• Fluent in Python and experience with deep learning models & frameworks (e.g., PyTorch)
• Experience working with quantum simulations, large datasets, or scientific models
• Prior work on ML applications to scientific domains (e.g., crystals, catalysis, batteries…)

We strongly encourage applications from candidates of all backgrounds, and are especially supportive of those from underrepresented groups in science and technology.

How to Apply?

Please include:

• CV — with links to relevant projects, publications or code
• Research proposal — up to 2 pages, no strict format, with unlimited references, outlining your current research, its impact, and alignment with Entalpic’s vision.
• (Optional) Letter of recommendation — preferably from your PhD advisor
• Specify which track you apply to: Track 1 (no internship) or Track 2 (with internship).

Questions?

Email us at [e-mail]. We’re happy to clarify the program or review your eligibility in advance.

Seniority level

Internship

Employment type

Internship

Job function

Research, Analyst, and Information Technology

Industries

Venture Capital and Private Equity Principals