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- Tasks: Conduct cutting-edge research in Financial Technology and teach innovative courses.
- Company: Join the University of Bristol, a leader in AI and Financial Technology education.
- Benefits: Be part of a vibrant academic community with excellent career development opportunities.
- Why this job: Shape the future of Fintech and AI while inspiring the next generation of innovators.
- Qualifications: Experience in Fintech research and a passion for teaching are essential.
- Other info: Exciting growth with new campus opening in 2025 and strong ties to tech start-ups.
The predicted salary is between 36000 - 60000 £ per year.
The School of Engineering Mathematics and Technology at the University of Bristol is seeking to make an academic appointment in Financial Technology either at Lecturer, Senior Lecturer or Associate Professor level. The successful candidate will join us at an exciting time – Bristol has a rapidly expanding profile in AI, including leading three UKRI AI hubs and the ProAI Centre for Doctoral Training. We host the UK’s national Isambard AI supercomputer and the University of Bristol was AI University of the Year in 2024. Our School has a rich interdisciplinary applications environment with particular strengths in developing the fundamentals of AI and also in applying AI in Financial Technology and other areas such as Digital Health, and Robotics and Autonomous Systems. Our new Temple Quarter Innovation Campus will open in summer 2025, strengthening our connections with the rich tech start-up community in the Bristol area.
What will you be doing? The postholder will be expected to conduct internationally excellent research and will join our research group called the Financial Engineering Lab (FEL), which is a sub-group of the Intelligent Systems Lab (ISL). We are particularly interested in candidates who research at the interface of Fintech and AI, and in areas related to computational finance and financial engineering, for example: AI for finance, automated trading, agent-based modelling of financial systems, blockchain-based decentralised finance, and financial machine learning. The postholder will also be expected to carry out excellent research-led teaching and related admin duties to support in particular our MSc Financial Technology with Data Science. For the Associate Professor level there will be leadership responsibilities across teaching and research.
You should apply if your research work involves financial technology (e.g., AI for finance, decentralized finance, etc.) and you have experience in teaching in this area (or a strong desire to do so for lecturer level). For the senior lecturer/associate professor level you should have strong evidence of leadership in research, teaching and administration. For the lecturer level we are seeking future leaders in their field and so we are looking for people who can demonstrate their leadership potential. We are particularly interested in candidates with experience of large-scale data engineering on commercial cloud service stacks such as GCP, AWS, or MSAzure, and their associated machine learning platforms such as Sagemaker and Vertex, as well as candidates with experience of decentralised application development in Ethereum blockchains.
For a full view of the responsibilities and our requirements, please refer to the attached candidate brochure.
Lecturer/ Senior Lecturer/Associate Professor in Financial Technology in London employer: University of Bristol
Contact Detail:
University of Bristol Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer/ Senior Lecturer/Associate Professor in Financial Technology in London
✨Tip Number 1
Network like a pro! Attend industry events, conferences, and meetups related to Financial Technology and AI. This is your chance to connect with potential colleagues and employers, and who knows, you might just land that dream job through a casual chat!
✨Tip Number 2
Show off your expertise! Create a personal website or blog where you can share your research, projects, and insights in Fintech and AI. This not only showcases your knowledge but also makes you more memorable to hiring committees.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in Financial Technology and AI. Be ready to discuss how your research aligns with the university's goals, especially in areas like automated trading and blockchain. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lecturer/ Senior Lecturer/Associate Professor in Financial Technology in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in financial technology and AI. We want to see how your background aligns with the exciting research happening at Bristol, so don’t hold back on showcasing your relevant skills!
Showcase Your Research: When detailing your research, focus on projects that intersect fintech and AI. We’re particularly interested in innovative approaches like automated trading or blockchain applications, so make sure to emphasise any work you've done in these areas.
Highlight Teaching Experience: If you’ve taught courses related to financial technology or AI, be sure to mention this! We’re looking for candidates who can deliver excellent research-led teaching, so share any relevant teaching experiences or methodologies you’ve used.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets the attention it deserves. Plus, it’s super easy to navigate, so go ahead and get started!
How to prepare for a job interview at University of Bristol
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and technologies in Financial Technology and AI. Brush up on topics like automated trading, blockchain, and financial machine learning. Being able to discuss these areas confidently will show your passion and expertise.
✨Showcase Your Research
Prepare to talk about your past research and how it aligns with the work being done at the University of Bristol. Highlight any projects that intersect with Fintech and AI, and be ready to discuss your methodologies and findings in detail.
✨Engage with Teaching Experience
If you have teaching experience, be prepared to share specific examples of your teaching methods and how you engage students. If you're aiming for a lecturer position, express your enthusiasm for teaching and your ideas for course development in Financial Technology.
✨Demonstrate Leadership Potential
For senior roles, it’s crucial to showcase your leadership skills. Discuss any previous leadership experiences in research or teaching, and how you plan to contribute to the academic community at Bristol. Think about how you can inspire and guide future researchers and students.
