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- Tasks: Develop innovative AI solutions for archival research and collaborate with top-tier international teams.
- Company: Join a leading university's Humanities and AI Virtual Institute, fostering creativity and collaboration.
- Benefits: Fixed-term position with competitive salary and opportunities for professional growth.
- Why this job: Make a real impact in the digital humanities while working with cutting-edge AI technologies.
- Qualifications: PhD in relevant fields and proficiency in Python; expertise in digital humanities or AI preferred.
- Other info: Dynamic research environment with a focus on equality, diversity, and inclusion.
The predicted salary is between 30000 - 40000 £ per year.
Applications are invited for a full‑time post‑doctoral researcher to work on an international collaboration to develop AI‑based solutions for research on archival materials as part of the Humanities and AI Virtual Institute (HAVI), funded by the Schmidt Sciences Foundation. This position is being hired for a project working on novel solutions at the interface of AI, knowledge graphs, computer vision, and the digital humanities. The goal is to develop an innovative AI architecture that is flexible and extensible enough to serve as a knowledge representation framework for the humanities.
The current working prototype for this unique design avoids the pitfalls of traditional knowledge graph architecture, is transparent and interpretable, allows queries of high complexity, and has the ability to perform reasoning and generate novel insights from the represented data. The researcher will work with Dr Sebastian Ahnert, head of the Structural Complexity research group in the Department of Chemical Engineering and Biotechnology, and an affiliate of Cambridge Digital Humanities. They will also collaborate closely with teams of faculty and researchers at the Center for Spatial and Textual Analysis, Stanford University, and at the DensityDesign Lab at the Politecnico di Milano.
We seek highly motivated and creative candidates, proficient in Python, and with expertise in one or more of the following areas: digital humanities, knowledge graphs, ontologies, graph databases, network analysis, natural language processing, computer vision. They should also have a PhD in one of the following areas: Digital Humanities, Computer Science, Physical Science, Engineering, Mathematics, Statistics, Data Science, or a closely related discipline.
Key Responsibilities:- A new knowledge graph architecture in the form of Python libraries, building on existing prototypes.
- A computer vision pipeline to aid knowledge graph construction.
- A prototype interface, developed in collaboration with the design team, for the interactive exploration of manuscript images and metadata.
- Effective liaison with humanities researchers to translate humanities research questions into algorithmic queries of the knowledge graph.
- Iterative development of the overall AI architecture that is responsive to the requirements of the diverse range of humanities case studies led by faculty at Stanford University as part of the team.
Fixed‑term: The funds for this post are available for 2 years in the first instance. Applications closing date 29th of March 2026. Please quote reference NQ49054 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Research Assistant/Research Associate (Fixed Term) in Cambridge employer: Cambridge University Department of Chemical Engineering and Biotechnology
Contact Detail:
Cambridge University Department of Chemical Engineering and Biotechnology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant/Research Associate (Fixed Term) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the project or institution you're eyeing. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your expertise in Python, digital humanities, or AI, make sure to share them during interviews or networking events. It’s all about proving you can walk the walk!
✨Tip Number 3
Prepare for the interview by diving deep into the specifics of the role. Brush up on knowledge graphs, computer vision, and how they relate to the humanities. The more you know, the more confident you'll feel when discussing your ideas.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team and contributing to exciting projects in AI and the humanities.
We think you need these skills to ace Research Assistant/Research Associate (Fixed Term) in Cambridge
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the role. We want to see how you can contribute to our innovative AI architecture and the exciting projects at the Humanities and AI Virtual Institute.
Showcase Your Skills: Don’t forget to emphasise your proficiency in Python and any relevant expertise in digital humanities, knowledge graphs, or computer vision. We’re looking for candidates who can bring their unique talents to the table, so let us know what you’ve got!
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. Make sure to communicate your ideas effectively, as this reflects your ability to translate complex concepts into understandable terms.
Apply Through Our Website: Remember to apply through our website by clicking the ‘Apply’ button! It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates regarding the process.
How to prepare for a job interview at Cambridge University Department of Chemical Engineering and Biotechnology
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, knowledge graphs, and digital humanities. Familiarise yourself with the latest trends and technologies in these areas, as well as the specific project details mentioned in the job description. This will show your genuine interest and expertise during the interview.
✨Showcase Your Skills
Prepare to discuss your proficiency in Python and any relevant tools or libraries you've used in past projects. Be ready to share examples of how you've applied your skills in real-world scenarios, especially those that relate to computer vision or network analysis.
✨Ask Insightful Questions
Think of thoughtful questions to ask about the project and the team you'll be working with. This could include inquiries about the collaboration with Stanford University or how the team approaches the iterative development of the AI architecture. It shows you're engaged and eager to contribute.
✨Be Yourself
While it's important to demonstrate your qualifications, don't forget to let your personality shine through. The team is looking for highly motivated and creative candidates, so be sure to express your passion for the field and your enthusiasm for the role. Authenticity can make a lasting impression!