At a Glance
- Tasks: Contribute to AI governance research and co-author peer-reviewed papers.
- Company: Join a pioneering team at TODS Ventures focused on AI ethics and technology.
- Benefits: Flexible scheduling, opportunity for impactful research, and collaboration with top experts.
- Other info: Engage in a dynamic, early-stage project with significant growth potential.
- Why this job: Shape the future of AI governance while advancing your academic career.
- Qualifications: MSc or PhD in Mathematics, Physics, or Computer Science with strong analytical skills.
The predicted salary is between 30000 - 40000 € per year.
About the Project
TODS Ventures is developing a highly ambitious Enterprise AI Governance Platform — a research-led project at the intersection of artificial intelligence, mathematics, law, ethics, and enterprise technology. The platform applies rigorous, multi-dimensional governance to AI interactions at scale. The project combines original academic research with practical software engineering, and is preparing for peer-reviewed publication alongside a commercial product launch. This is an early-stage, high-calibre founding team engagement.
The Role
We are looking for a strong technical academic or research scientist with a background in Mathematics, Physics, or Computer Science — at MSc or PhD level. You will serve as a core intellectual contributor to the project's mathematical and AI foundations, working directly with the CEO/CTO to formalise the platform's theoretical basis, review quantitative approaches, and co-author peer-reviewed papers. Deep fluency in linear algebra, vector spaces, statistics, probability, and AI is central to the role. This is a fractional advisory engagement at approximately 30% FTE, with flexibility on scheduling.
Key Responsibilities
- Provide mathematical and theoretical guidance on the core platform architecture — with a strong focus on linear algebra, vector spaces, metric spaces, and multi-dimensional decision frameworks.
- Co-author and review peer-reviewed research papers targeting top AI, ML, and fairness venues.
- Advise on statistical and probabilistic modelling approaches — including drift detection, composite scoring, and distributional analysis across large interaction datasets.
- Review and validate quantitative methods, proofs, and mathematical formalisms embedded in the platform design.
- Contribute to the academic research agenda — helping to frame open questions, select methodologies, and position contributions within the existing literature.
- Engage with relevant prior work in areas such as knowledge graph embeddings, statistical learning theory, multi-criteria decision analysis, and AI safety.
Mathematics of AI Research Associate employer: Todsventures
TODS Ventures is an exceptional employer for those passionate about the intersection of artificial intelligence and mathematics, offering a unique opportunity to contribute to a pioneering Enterprise AI Governance Platform. With a strong emphasis on academic research and practical application, employees benefit from a collaborative work culture that fosters intellectual growth and innovation, while also enjoying flexible scheduling in a fractional advisory role. This early-stage project not only allows for meaningful contributions to cutting-edge research but also positions team members at the forefront of AI governance, making it a rewarding environment for aspiring researchers.
StudySmarter Expert Advice🤫
We think this is how you could land Mathematics of AI Research Associate
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and mathematics fields on LinkedIn or at conferences. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, research papers, or any relevant work. This gives potential employers a taste of what you can bring to the table, especially in a technical role like this one.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. We recommend practising common interview questions related to linear algebra, statistics, and AI concepts. Being well-prepared will help you stand out during the selection process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Mathematics of AI Research Associate
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical background in Mathematics, Physics, or Computer Science. We want to see how your expertise aligns with the role, so don’t hold back on showcasing your knowledge in linear algebra and AI!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your experience relates to the project’s focus on AI governance and the mathematical foundations of the platform. We love seeing candidates who take the time to connect their skills to our mission!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your qualifications stand out!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Todsventures
✨Brush Up on Your Maths
Make sure you're well-versed in linear algebra, vector spaces, and statistics. Review key concepts and be ready to discuss how they apply to AI and the project at hand. This will show your depth of knowledge and enthusiasm for the role.
✨Know the Project Inside Out
Familiarise yourself with TODS Ventures and their Enterprise AI Governance Platform. Understand their goals, challenges, and how your expertise can contribute. This will help you tailor your answers and demonstrate genuine interest.
✨Prepare for Technical Questions
Expect to face technical questions related to mathematical modelling and AI frameworks. Practice explaining complex concepts clearly and concisely, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Research Experience
Be ready to discuss your previous research projects, especially those involving peer-reviewed publications. Highlight your contributions and how they relate to the responsibilities of the role, emphasising your ability to co-author papers and engage with academic literature.
