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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: We value diversity and encourage applications from all backgrounds.
The predicted salary is between 36000 - 60000 £ 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.
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 to 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.
About the RoleResearch: You will work with colleagues, students and researchers to develop and publish papers. You will apply for research funding to support your ideas. You will find ways of making your research available to society, for example, by working with industry, developing spin-outs, collaborating with charities, influencing policymakers, or delivering talks and demonstrations to inform and excite wider audiences.
Teaching: You will design and deliver teaching materials for lectures, tutorials, and labs. You will be educating and inspiring some of the brightest students in the country, delivering an engaging experience and a supportive programme.
Helping with the running of the department: You will have a few internal roles to help the Department run smoothly, such as helping with student placements, ethics processes, recruitment and admissions, or leading a research team.
The support and growth opportunities we provide:
- Training for an HEA fellowship qualification. Reader would have the option to be enrolled into the Pathway to HEA Fellowship.
- All of our staff are allocated a mentor when they join, who will support you in your day-to-day job and help you progress.
- Opportunities to collaborate and build on our networks to help with your research and attract more funding.
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, alongside experience teaching at UG/PG levels, is essential. 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. They must have current knowledge of modern teaching methodologies, including learning technologies, and a strong research strategy. All roles require excellent organisational and administrative skills.
If you have any questions or you would like to talk informally about the role, please contact Professor Eamonn O'Neill, Head of Department, or Professor Oezgür ÅimÅek, Head of the AI and Machine Learning Research Group.
The University of Bath is an equal opportunities employer; we welcome applicants from all backgrounds. We are working to improve the gender balance in the Department of Computer Science, and we particularly welcome applications from women.
In your application, please refer to myScience and reference JobID 296731.
Reader in Artificial Intelligence in Bath employer: EURAXESS Ireland
Contact Detail:
EURAXESS Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reader in Artificial Intelligence in Bath
✨Network Like a Pro
Get out there and connect with folks in your field! Attend conferences, workshops, or even local meetups. Building relationships can lead to opportunities that aren’t advertised.
✨Show Off Your Passion
When you get the chance to chat with potential employers, let your enthusiasm for AI and machine learning shine through. Share your ideas and projects; it shows you’re not just looking for a job, but you’re genuinely excited about contributing to the field.
✨Leverage Social Media
Use platforms like LinkedIn to showcase your work and connect with industry leaders. Share articles, engage in discussions, and don’t hesitate to reach out to people you admire in the AI community.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Reader in Artificial Intelligence in Bath
Some tips for your application 🫡
Show Off Your Research: Make sure to highlight your research achievements and funding successes in your application. We want to see how you can contribute to our AI and machine learning group, so don’t hold back on showcasing your expertise!
Tailor Your Teaching Experience: When discussing your teaching experience, focus on how you've engaged and inspired students. We’re all about creating an engaging experience, so share specific examples of your teaching methods and any innovative approaches you've used.
Collaborative Spirit is Key: Since we value collaboration, mention any partnerships or interdisciplinary work you've been involved in. Show us how you can connect with others and contribute to a supportive team environment at the University of Bath.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, it makes the process smoother for both you and us!
How to prepare for a job interview at EURAXESS Ireland
✨Know Your Research Inside Out
Make sure you can discuss your research in detail, especially in areas like Natural Language Processing or Reinforcement Learning. Be prepared to explain how your work contributes to the field and how it aligns with the department's goals.
✨Engage with Teaching Methodologies
Familiarise yourself with modern teaching methodologies and learning technologies. Be ready to share examples of how you've successfully engaged students in the past and how you plan to inspire the bright minds at the University of Bath.
✨Show Your Collaborative Spirit
Highlight your experience in collaborative projects, both within academia and with industry partners. Discuss how you can contribute to the department's interdisciplinary approach and your vision for building new partnerships.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready for your interviewers. This shows your genuine interest in the role and the department. Ask about their current projects, future directions, and how they support academic growth and collaboration.
