At a Glance
- Tasks: Advance 3D reconstruction and novel view synthesis using cutting-edge AI technologies.
- Company: Join SpAItial, a leader in generative AI and computer vision.
- Benefits: Competitive salary, inclusive culture, and opportunities for impactful research.
- Other info: Diverse workplace committed to equal opportunity and career growth.
- Why this job: Be at the forefront of redefining how industries interact with 3D environments.
- Qualifications: PhD in computer vision or related field; strong research background required.
The predicted salary is between 63000 - 77000 £ per year.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.
We’re seeking a Research Scientist to push the state of the art in 3D reconstruction. You should have command of the latest scene representations, such as Gaussian splats and radiance fields, and of reconstruction methods across the full range, from per-scene optimization to feed-forward models. We are looking for someone who knows the field well enough to choose the right representation and method for a problem, and then improve on it. This is a senior, hands-on research role for someone who has already done reconstruction research across more than one representation.
Responsibilities
- Advance the state of the art in 3D reconstruction, from research ideas to working methods.
- Work across the full range of reconstruction problems (geometry, appearance, materials, lighting and dynamics, from sparse or incomplete observations), and novel view synthesis, including neural rendering and feed-forward view generators.
- Design losses, priors, and optimization strategies that improve fidelity, robustness, and efficiency.
- Build rigorous evaluations on public and internal benchmarks, and use them to drive decisions.
- Collaborate with research and engineering colleagues to bring successful methods into production systems.
Key qualifications
- PhD in computer vision, graphics, or a related field; publications at top venues (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS).
- Deep, hands-on knowledge of modern scene representations, for example Gaussian splats and radiance fields, and the ability to weigh their trade-offs.
- Research experience across the reconstruction spectrum, from per-scene optimization to feed-forward models.
- Deep understanding of multi-view geometry, camera models, and rendering.
- Strong experience with deep learning frameworks.
At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.
Research Scientist - 3D Reconstruction & Novel View Synthesis in London employer: SpAItial
At SpAItial, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of AI research. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and a supportive environment that encourages personal and professional growth. Join us to be part of a team that is at the forefront of transforming robotic learning into impactful real-world applications.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist - 3D Reconstruction & Novel View Synthesis in London
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at SpAItial, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like SpAItial. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Research Scientist - 3D Reconstruction & Novel View Synthesis in London
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at SpAItial. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at SpAItial. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at SpAItial
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at SpAItial. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at SpAItial to drive research projects forward.
