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- Tasks: Lead AI research, publish papers, and inspire students through engaging teaching.
- Company: Join the University of Bath's innovative Computer Science Department.
- Benefits: Career mentoring, growth opportunities, and a beautiful campus in Bath.
- Why this job: Make a real impact in AI while collaborating with top researchers and industries.
- Qualifications: PhD in relevant field, strong research profile, and teaching experience required.
- Other info: Equal opportunities employer, committed to improving gender balance in tech.
The predicted salary is between 28800 - 48000 £ per year.
The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas of AI and machine learning, particularly in Natural Language Processing, Reinforcement Learning and/or AI Security. Appointments would be at the Reader level.
We are a highly collaborative team, working not only with other researchers in our department, but across the university and beyond. We will offer you support and growth opportunities, including career mentoring and opportunities to progress, manage and lead. We will help you develop collaborations with regional, national and international partners, for example in science, entertainment, sport and healthcare.
You will offer us a strong academic record and the ability and enthusiasm to create an engaging experience for our excellent students. The University of Bath is based on an attractive, single-site campus that facilitates interdisciplinary research, located on the edge of the World Heritage City of Bath.
Responsibilities
- Research: You will work with colleagues, students and researchers to develop and publish papers. You will apply for research funding to support your ideas and find ways of making your research available to society.
- Teaching: You will design and deliver teaching materials for lectures, tutorials and labs, educating and inspiring students.
- Departmental Responsibilities: You will have internal roles to help the Department run smoothly, such as assisting with student placements, ethics processes, recruitment and admissions or leading a research team.
Support and Growth Opportunities
- Training for an HEA Fellowship Qualification: Readers would have the option to be enrolled into the Pathway to HEA Fellowship.
- Mentoring: All staff are allocated a mentor when they join to support day-to-day job and progression.
- Opportunities to Progress, Manage and Lead: There are many opportunities to grow with us.
- Opportunities to Collaborate and Build on Our Networks: You will be able to work with and build on the strong networks we have developed across sectors.
About You
Our ideal candidates will hold a PhD or equivalent in a relevant discipline, along with a first degree or equivalent experience. Membership of a professional body and a higher education teaching qualification (e.g. PGCert, FHEA) are desirable. You should demonstrate an established research profile with funding success for Readers, a deep conceptual understanding of your subject, and experience teaching at UG/PG levels.
Strong written, oral and interpersonal skills, along with the ability to form positive collaborations and working relationships, are required. A commitment to excellence in research and teaching, student experience, and ethical professional conduct is essential. Readers should also exhibit academic leadership and a clear research vision, with current knowledge of modern teaching methodologies and a strong research strategy. All roles require excellent organisational and administrative skills.
If you have any questions or would like to talk informally about the role, please contact Professor Eamonn ONeill, Head of Department, or Professor zgr Simsek, Head of the AI and Machine Learning Research Group. The University of Bath is an equal opportunities employer and welcomes applicants from all backgrounds.
Reader in Artificial Intelligence in Bath employer: gRafiKs
Contact Detail:
gRafiKs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reader in Artificial Intelligence in Bath
✨Tip Number 1
Network like a pro! Attend conferences, workshops, and meet-ups related to AI and machine learning. This is your chance to connect with potential collaborators and showcase your expertise in NLP, Reinforcement Learning, or AI Security.
✨Tip Number 2
Get your research out there! Present your work at seminars or public talks. Engaging with the community not only boosts your profile but also opens doors for collaborations and funding opportunities.
✨Tip Number 3
Don’t shy away from informal chats! Reach out to current staff or alumni from the University of Bath. They can provide insights into the department culture and might even give you a heads-up on upcoming opportunities.
✨Tip Number 4
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 genuinely interested in joining our collaborative team.
We think you need these skills to ace Reader in Artificial Intelligence in Bath
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your experience in AI, especially in areas like NLP and Reinforcement Learning. We want to see how your skills align with our research group's goals!
Showcase Your Research Impact: When detailing your research, focus on how it contributes to society and industry. We love seeing candidates who can bridge the gap between academia and real-world applications, so let us know how you've done this!
Engage with Teaching Experience: Don’t forget to mention your teaching experience! We’re looking for someone who can inspire students, so share any innovative teaching methods or materials you’ve developed that made a difference in your classrooms.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets into the right hands, and we can’t wait to hear from you!
How to prepare for a job interview at gRafiKs
✨Know Your AI Stuff
Make sure you brush up on the latest trends and breakthroughs in Artificial Intelligence, especially in Machine Learning, NLP, and Reinforcement Learning. Be ready to discuss your research and how it aligns with the department's goals.
✨Showcase Your Teaching Skills
Prepare to talk about your teaching philosophy and methods. Think of examples where you've engaged students or developed innovative teaching materials. Highlight your commitment to creating an inspiring learning environment.
✨Collaborative Spirit is Key
Since the role involves working with various teams, be prepared to share experiences where you've successfully collaborated with others. Discuss how you can contribute to building partnerships within and outside the university.
✨Ask Thoughtful Questions
At the end of the interview, have some insightful questions ready. Inquire about the department's future projects, collaboration opportunities, or support for research funding. This shows your genuine interest in the role and the institution.
