Verified current PhD Opportunity

Research Scientist Intern (PhD) - Model Team - London

PhD - Graduation/Final year Internships available in our Research lab.

PhD Opportunity Remote Full source details
H Company London, Hybrid London Source published Sep 20, 2026 Verified 11 hours ago
✓ 100% verification score · Source: H Company (ashby) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time
Work modeRemote / location-flexible

Overview

PhD - Graduation/Final year Internships available in our Research lab.

Complete research opportunity details

PhD - Graduation/Final year Internships available in our Research lab. What we're looking for:

  • PhD (completed or near completion) in Computer Science, Machine Learning, Mathematics, or a related field.
  • Published in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, ICCV, CoRL).
  • Strong research and/or research engineering experience at leading ML research labs. About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries. About our Team: Our Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI. Research areas include: • Post-training & reinforcement learning, off-policy robustness • Self-verification and learning from feedback • Synthetic data generation at scale • Efficient reasoning • World modelling & Env generation Alongside interesting research, you’ll enjoy a very high GPU-to-researcher ratio. We are excited to tell you more ! Location:
  • London What We Offer:
  • Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
  • Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
  • Unlock opportunities for professional growth, continuous learning, and career development. If you want to change the status quo in AI, join us.

Tips for this phd opportunity

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
  2. Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
  3. Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
  4. Contact a supervisor before applying only when the official instructions recommend or require it.

Verification notes

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