Research Scientist

Description Join us at EIT:

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity's greatest challenges in four transformative areas:

• Health, Medical Science & Generative Biology
• Food Security & Sustainable Agriculture
• Climate Change & Managing CO₂
• Artificial Intelligence & Robotics

This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas for lab to society. Explore more .org .

We are currently hiring for multiple positions across multiple specialised tracks.

We are looking for visionary researchers who can balance high-level theoretical innovation with a mission-driven bias toward execution.

This team focuses on developing the next generation of multimodal models that bridge the gap between virtual intelligence and physical action. As a Research Scientist, you will push the boundaries of how agentic AI reasons across modalities, integrating robotics and sensor data to accelerate scientific discovery in the physical world.

• Focus: LLMs, VLMs, and Vision‑Language‑Action (VLA) models, world models.
• Key Challenge:
  Designing novel architectures for agentic AI that can translate digital reasoning into reliable, real-world physical impact.
• Ideal Background:
  
  PhD in ML/AI with a track record of excellence in autoregressive models, deep reinforcement learning, or other generative modeling. Experience at the intersection of AI and robotics is a significant advantage.

This team operates at the frontier of multi-scale modeling, from molecular structures to patient-level data. You will utilise massive datasets including proteins, DNA, EHR, and medical imaging to invent new ML paradigms that solve the most complex puzzles in biology and healthcare.

• Focus:
  Multimodal generative models, physics-informed ML, and large-scale biological modeling.
• Key Challenge:
  Creating scalable, high-fidelity models that incorporate long-context biological data and HPC simulations to drive "wet‑lab" breakthroughs.
• Ideal Background:
  
  PhD in CS, Physics, Mathematics, or Computational Biology. Expertise in large-scale model training, distributed computing, and data management for scientific domains.

Regardless of the track, you will be expected to:

• Innovate & Lead:
  Conceptualize and develop original ML architectures and foundation models from first principles.
• Publish & Present:
  Drive the research agenda, contributing to the global AI community through high-impact publications (NeurIPS, ICML, ICLR, etc.) and technical reports.
• Collaborate:
  Partner with cross-disciplinary squads of roboticists, clinicians, and biologists to ensure research objectives meet real-world scientific needs.
• Bridge to Production:
  Work with Research Engineers to translate theoretical breakthroughs into scalable, reproducible, and mission-critical systems.

• PhD in Machine Learning, AI, Computer Science, or a related quantitative field (Physics, Math, Computational Biology).
• Research Excellence: A proven track record of impactful research demonstrated by publications in top-tier AI venues or scientific journals.
• Technical Mastery:
  Deep expertise in deep learning frameworks (PyTorch) and the ability to write high-quality, reproducible research code.
• Mission Mindset: A strong desire to apply advanced research to solve tangible, real-world problems in a fast-paced environment.

• For Embodied AI:
  Demonstrated research in multimodal or agentic AI; specific experience with robotics (ICRA, IROS, CoRL publications) or simulation environments is a strong bonus.
• For Science & Health:
  Experience with biomolecular datasets, medical imaging, or scientific workflows (Chemistry/Materials Science). Proficiency in HPC integrations and large-scale data management is highly desirable.

We offer the following salary and benefits:

• Enhanced holiday pay
• Pension
• Life Assurance
• Income Protection
• Private Medical Insurance
• Hospital Cash Plan
• Therapy Services
• Perk Box
• Electric Car Scheme