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Associate Researcher (Internship-2026)

London
Posted 4 months ago
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Overview

Job Description

As an Associate Researcher, you are expected to demonstrate curiosity, self-motivation and enthusiasm for working at the intersection of theory and application. You are encouraged to explore bold ideas, contribute to meaningful research, and take ownership of your work while learning advanced research methodologies.

Our Team's Main Directions

  • Applying AI to the design and optimization of semiconductors and communication systems
  • Conducting fundamental research that supports both our applications and the broader scientific community

Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models.

Key Responsibilities

  • Support research projects by conducting experiments and collecting data
  • Perform literature reviews to inform ongoing research
  • Assist senior team members with data analysis and documentation
  • Contribute to the development and implementation of algorithms as part of team projects
  • Collaborate with researchers and engineers to explore and evaluate new ideas
  • Assist in preparing publications and technical reports
  • Stay up to date with the latest advancements in AI and related fields

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Requirements

Required Qualifications & Expectations

  • Enrolment in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field
  • Demonstrated interest in research and a background in machine learning or a related area
  • Proficiency in programming languages such as Python, C++, or similar
  • Strong problem-solving skills and ability to work both independently and collaboratively
  • Effective communication skills and ability to present complex ideas clearly

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Preferred

  • Experience in optimization, reinforcement learning, and/or large language models (LLMs)
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
  • Previous research publications or submitted papers

Ongoing Development

Employees are encouraged to continue developing their skills, seek out new research opportunities, and actively contribute to the team’s goals. Regular feedback and support will be provided to help you achieve your professional objectives.

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Skills

Machine Learning
Artificial Intelligence
Mathematics
Computer Science
Physics
Programming
Python
C++
Problem-Solving
Communication
Optimization
Reinforcement Learning
Deep Learning
TensorFlow
PyTorch
JAX

Location

London, England, United Kingdom

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