Research computer scientists Work, Jobs in Melbourn, Cam (with Salaries)

Computational Scientist
The Innovation Game —Cambridge
- £35,000 - £47,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- English
- Bachelor's degree
Quick apply
GPU Internship - Platform Architecture
Apple —Cambridge
- Doctoral degree
- Computer Science
- Engineering
Cambridge Residency Programme: Next-Generation AI Datacentre Networking
Microsoft —Cambridge
- Doctoral degree
- Computer Science
- Engineering
10d
Research Science PhD Internship Opportunities - Coding Agents
Microsoft —Cambridge
- Doctoral degree
- Computer Science
- Master's degree
Senior Applied Scientist (Computer Vision), Camera and Sensors
Evi Technologies Limited —Cambridge
- Full-time
- Java
- Master's degree
- C++
Cambridge Residency Programme - Researcher in Agentic AI Systems & Infrastructure
Microsoft —Cambridge
- Doctoral degree
- Computer Science
- Master's degree
6d
Research Scientist (Visual Generative AI & World Models)
Graphcore —Cambridge
- Doctoral degree
- Master's degree
- C++
- Annual leave
- Employee assistance programme
Cambridge Residency Programme - Postdoc Researcher, Generative Experiences & Collaborative Workflows
Microsoft —Cambridge
- Doctoral degree
- AI
Performance Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Computer Science
- Bachelor's degree
- Python
Quick apply
Quantum Error Correction Researcher (qLDPC)
Riverlane —Cambridge
- £60,000 - £85,000 a year
- Part-time
- Doctoral degree
- Computer Science
- C++
- Annual leave
- Life insurance
Quick apply
Senior Human-Centric AI Engineer
Cambridge Consultants —Cambridge
- Doctoral degree
- Computer Science
- IT

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Computational Scientist

The Innovation Game
Cambridge

Quick apply

Job details

Full-time
£35,000 - £47,000 a year

Qualifications

Doctoral degree
Scientific research
English
Bachelor's degree
Machine learning

Full job description

We are seeking a talented Computational Scientist to join The Innovation Game. We are a Cambridge-based startup building a market-based framework for accelerating the discovery of valuable algorithms. TIG’s mission is to create a sustainable ecosystem for open algorithmic innovation.

We focus on computational problems that are difficult to solve but easy to verify, allowing researchers, developers, and automated discovery systems to compete on improving algorithmic performance across important scientific and industrial domains.

About the Role: You'll play a key role in identifying and developing computational problems that are difficult to solve but easy to verify - a cornerstone of our framework. These problems are drawn from various scientific fields. You will also be involved in TIG’s automated research efforts, using tools such as OpenEvolve, SkyDiscover, and related systems to help automate the discovery of improved algorithms. You should have a passion for scientific research and innovation, strong problem-solving skills, and attention to detail.

Key Responsibilities:

- Collaborate with scientists in academia and industry to identify suitable computational problems across diverse scientific domains.

- Implement and optimise scientific algorithms, writing code to precisely define problems, generate random instances of variable difficulty, and formulate solutions based on published literature and your expertise.

- Use automated discovery systems, such as OpenEvolve and SkyDiscover, to search for improved algorithms.

- Contribute to the development and refinement of TIG's framework and processes.

Qualifications:

- PhD preferred; minimum of an undergraduate degree in a relevant subject (e.g., Computer Science, Mathematics, ML, Physics, Chemistry, Computational Biology).

- Must have coding experience. - Solid background in mathematical and/or computational sciences.

- Ability to communicate clearly on technical matters.

- Comfortable using AI tools.

- Verbal and written English language fluency.

- Ability to quickly learn and understand new scientific concepts across diverse fields.

Career Development:

- Collaborate with leading scientists and expand your network in various scientific domains. - Develop expertise in cutting-edge computational methods and technologies.

- Attend and present at relevant conferences and workshops.

- Shape the future of scientific research with potential for contributing to high-impact publications.

We're looking for a self-motivated individual who can thrive in a startup environment, adapt to changing priorities, and contribute across various areas as needed.

Pay: £35,000.00-£47,000.00 per year

Work Location: Hybrid remote in Cambridge CB1 2JH

Quick apply

Refine Your Search

research computer scientists jobs in melbourn, cam

Computational Scientist

GPU Internship - Platform Architecture

Cambridge Residency Programme: Next-Generation AI Datacentre Networking

Research Science PhD Internship Opportunities - Coding Agents

Senior Applied Scientist (Computer Vision), Camera and Sensors

Cambridge Residency Programme - Researcher in Agentic AI Systems & Infrastructure

Research Scientist (Visual Generative AI & World Models)

Cambridge Residency Programme - Postdoc Researcher, Generative Experiences & Collaborative Workflows

Performance Engineer

Quantum Error Correction Researcher (qLDPC)

Senior Human-Centric AI Engineer

I want to receive the latest job alerts for research computer scientists in melbourn, cam

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