At a Glance
- Tasks: Lead innovative research in Data Science and drive impactful collaborations.
- Company: University of Wolverhampton, a hub for interdisciplinary education and research.
- Benefits: Competitive salary, opportunities for external funding, and career development.
- Other info: Join a dynamic team with excellent opportunities for growth and collaboration.
- Why this job: Make a real impact in the field of Data Science and shape future research.
- Qualifications: PhD in Computer Science or Data Science with extensive research experience.
The predicted salary is between 55000 - 65000 £ per year.
Data is a strategic growth area for the University of Wolverhampton, and we are seeking to appoint an exceptional and ambitious individual to join our team as a Reader in Data Science. The School of Engineering, Computing and Mathematical Sciences is a large interdisciplinary centre for education, research, and enterprise.
We are looking for an experienced researcher to help lead, drive, and advance our research and knowledge exchange activities in Data Science. You will be expected to boost the already successful research carried out by the school. You will be expected to produce REF-returnable outputs, attract external income, seek industrial collaborations, undertake some teaching, and supervise PhD students.
You will hold a PhD (or equivalent) in a field related to Computer Science or Data Science or a related field and will have carried out extensive research in the area at a university, research institute, or in a related part of the private sector in the UK or abroad. You will be proficient in a range of subject-specific skills and ideally will have extensive experience in site-based research settings.
You will be able to demonstrate the ability to work independently to develop new research objectives and proposals including contributing to the securing of external funding and collaborative projects. You should have evidence of an individual track record in research which is at the cutting edge of the relevant fields and is recognised internationally (e.g., through publications in journals). You should have a track record of having successfully obtained funding from external sources and successfully completed projects.
For an informal discussion about the above post please contact Professor Tracy Warr, Associate Dean Research and Knowledge Exchange (t.warr@wlv.ac.uk).
Data Science Research Leader — Collaborations & Impact in Wolverhampton employer: University of Wolverhampton
The University of Wolverhampton is an outstanding employer, offering a vibrant work culture that fosters innovation and collaboration within the School of Engineering, Computing and Mathematical Sciences. As a Data Science Research Leader, you will benefit from extensive professional development opportunities, a supportive environment for research advancement, and the chance to engage with industry partners, all while contributing to impactful projects in a dynamic academic setting.
Contact Details:
University of Wolverhampton Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Research Leader — Collaborations & Impact in Wolverhampton
✨Tip Number 1
Network like a pro! Attend conferences, workshops, and meet-ups in the data science field. It's all about making connections that could lead to collaborations or even job offers.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your research projects, publications, and any successful funding applications. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Don’t be shy about reaching out! If you see a position that excites you, drop a message to the hiring manager or someone in the department. A friendly introduction can go a long way.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application and showcase your skills. Plus, it shows you're genuinely interested in joining our team at the University of Wolverhampton.
We think you need these skills to ace Data Science Research Leader — Collaborations & Impact in Wolverhampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Science Research Leader role. Highlight your relevant experience, especially in research and collaborations, and don’t forget to showcase any successful projects or funding you've secured.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re the perfect fit for this position. Share your passion for data science and how your background aligns with our goals at the University of Wolverhampton. Be specific about what you can bring to the team!
Showcase Your Research Impact:We want to see evidence of your research impact! Include details about your REF-returnable outputs and any industrial collaborations you've been involved in. This will help us understand how you can boost our already successful research.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re keen on joining our team at StudySmarter and contributing to our mission.
How to prepare for a job interview at University of Wolverhampton
✨Know Your Research Inside Out
Make sure you can discuss your previous research projects in detail. Be prepared to explain your methodologies, findings, and how they contribute to the field of Data Science. This will show your depth of knowledge and passion for the subject.
✨Showcase Your Collaboration Skills
Since the role involves seeking industrial collaborations, be ready to share examples of past partnerships you've fostered. Highlight how these collaborations led to successful outcomes, and demonstrate your ability to work with diverse teams.
✨Prepare for Funding Discussions
Expect questions about your experience in securing external funding. Have specific examples ready where you successfully obtained grants or funding for your projects. This will illustrate your capability to attract resources for future research.
✨Engage with Teaching and Supervision Experience
As teaching and supervising PhD students are part of the role, be prepared to discuss your teaching philosophy and any relevant experiences. Share how you’ve mentored students or contributed to their academic growth, as this shows your commitment to education.
