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- Tasks: Educate and support students in Data Science and AI while conducting impactful research.
- Company: Join a leading Centre of Excellence dedicated to advancing AI and Data Science education.
- Benefits: Enjoy a one-year fixed-term contract with potential for sponsorship and professional development opportunities.
- Why this job: Shape the future of tech by teaching the next generation of data scientists and AI experts.
- Qualifications: A good degree and PhD (or submitted) in relevant fields, plus teaching experience.
- Other info: Ideal for those passionate about AI in Healthcare or Engineering.
The predicted salary is between 36000 - 60000 £ per year.
Please note: This is a 1 year FTC at 1 FTE
Sponsorship is considered
The Role:
Teaching Fellow – Data Science
Background:
We are significantly investing and contributing to the AI world of today and tomorrow – and this investment brings a fantastic opportunity for a Teaching Fellow to join us at the Centre of Excellence on a fixed term, 1 year basis. The ideal candidate will build our research and knowledge exchange strengths within DAIM, along with enhancing academic support and teaching provision for our students. After all, you’ll be educating the next generation of data scientists and artificial intelligence practitioners, responding to the increasing need in this field, and conducting high quality research which cuts across traditional disciplinary departmental and faculty boundaries.
Duties & Responsibilities:
The ideal candidates will have excellent communication and personal supervision skills and be able to engage, motivate and support students. They will be expected to make significant contributions to supporting the academic progress of students, to support teaching, and to deliver a positive impact on the student experience. Preference will be given to candidates who are able to provide teaching support across a number of subject areas relevant to DAIM and who complement and enhance the overall disciplinary balance within DAIM.
Required:
Ideally you will hold a good degree, and a PhD or equivalent (or have submitted your PhD prior to commencement), with experience in teaching and research. We also recognise the value that significant and relevant work experience can bring to an individual’s skillset, particularly, if you have experience in at least one aspect of Data Science, Artificial Intelligence, or Python programming. We are particularly interested in candidates with AI expertise in Healthcare or Engineering.
For more info:
Please view the attached JD, or contact Prof. Kevin Pimbblet at k.pimbblet@hull.ac.uk for an informal discussion.
Selection Criteria:
- A good degree, and a PhD or equivalent which at minimum must be submitted prior to commencement. (Essential, Shortlisting)
- Demonstrable background through teaching, research, or career experience in at least one aspect of: Artificial Intelligence, Data Science and Modelling. (Essential, Shortlisting, Interview)
- Ability to teach effectively at undergraduate and postgraduate level in a variety of teaching modes (Essential, Shortlisting, Interview)
- An extensive knowledge and understanding of undergraduate and postgraduate education within a relevant discipline (Essential, Interview)
- Working in an open and transparent way, providing information and communicating effectively with colleagues (i.e., evidence of good collegial academic citizenship) (Essential, Interview)
- Expertise in an area of interest to DAIM. (Desirable, Shortlisting, Interview)
- Continuous Professional Development (Desirable, Interview)
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Further details:
- Job Description
- Candidate Pack
- Equality and Diversity Document
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies. #J-18808-Ljbffr
Teaching Fellow in Data Science & AI employer: University of Hull
Contact Detail:
University of Hull Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Teaching Fellow in Data Science & AI
✨Tip Number 1
Familiarise yourself with the latest trends and developments in Data Science and AI, especially in areas like Healthcare or Engineering. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with current students or alumni from similar roles to understand their experiences and gather insights on what makes a successful Teaching Fellow. This can provide you with valuable information to tailor your approach.
✨Tip Number 3
Prepare to discuss your teaching philosophy and methods, particularly how you would engage and motivate students in both undergraduate and postgraduate settings. Having clear examples ready can set you apart.
✨Tip Number 4
Network with professionals in the Data Science and AI community, whether through conferences, webinars, or online forums. Building connections can lead to recommendations and insights that may enhance your application.
We think you need these skills to ace Teaching Fellow in Data Science & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Data Science and AI. Emphasise any teaching roles, research projects, or industry experience that align with the job description.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the responsibilities and requirements outlined in the job description. Showcase your passion for teaching and your expertise in AI and Data Science.
Highlight Relevant Experience: In your application, clearly outline your experience in teaching and research, particularly in areas related to AI and Data Science. Use specific examples to demonstrate your skills and contributions.
Prepare for Potential Questions: Anticipate questions related to your teaching philosophy and how you would engage students in Data Science and AI. Be ready to discuss your approach to supporting academic progress and enhancing the student experience.
How to prepare for a job interview at University of Hull
✨Showcase Your Teaching Experience
Be prepared to discuss your previous teaching roles and how you've engaged and motivated students. Highlight specific examples of successful teaching strategies you've employed, especially in Data Science or AI.
✨Demonstrate Your Research Background
Since the role involves contributing to research, be ready to talk about your research projects, particularly those related to AI or Data Science. Discuss any interdisciplinary work you've done and how it can benefit the Centre of Excellence.
✨Familiarise Yourself with DAIM's Focus Areas
Research the specific areas of Data Science and AI that DAIM focuses on. Be prepared to discuss how your expertise aligns with their needs, especially if you have experience in Healthcare or Engineering applications.
✨Prepare for Questions on Student Engagement
Expect questions about how you would support and enhance the student experience. Think of innovative ways to engage students in both undergraduate and postgraduate settings, and be ready to share your ideas.
