Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Teach and develop courses in computer science, machine learning, and AI.
- Company: Join a top-notch School of Computing known for innovation and research excellence.
- Benefits: Enjoy opportunities for professional development and potential visa sponsorship.
- Why this job: Make an impact in tech education while collaborating with industry experts.
- Qualifications: Practical experience in computer science or related fields is essential.
- Other info: Interviews will be conducted via Microsoft Teams; Disability Confident employer.
The predicted salary is between 28800 - 48000 £ per year.
The School of Computing, Engineering and Digital Technologies enjoys an excellent reputation for innovation and our teaching staff combine academic excellence, world class research and industrial experience. It offers a diverse range of accredited undergraduate and postgraduate programmes and delivers a number of active research projects in these areas and is now seeking to appoint to the post of Lecturer in Computer Science. The postholder should have a wealth of practical experience in computer science, machine learning, data science, software engineering, cyber security or artificial intelligence to support the delivery and employability agenda of our computing course portfolio. The ability to contribute to curriculum development and a personal commitment to undertaking development and/or scholarship to enhance teaching are also essential for this role.
The position we are filling is exempt from the provisions of the Rehabilitation of Offenders Act and a satisfactory DBS disclosure from the Disclosure and Barring Service is required as part of our clearance procedures.
Please be advised that due to the minimum salary thresholds imposed by the UKVI, this post will qualify for University sponsorship under the Skilled Worker visa route.
If you are shortlisted, your interview will take place via Microsoft Teams. Please note that the University may ask you to participate in a number of selection activities as part of the recruitment process for this vacancy.
Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.
Lecturer in Computer Science employer: Teesside University
Contact Detail:
Teesside University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Computer Science
✨Tip Number 1
Make sure to highlight your practical experience in areas like machine learning, data science, or software engineering during the interview. Prepare specific examples of projects you've worked on that demonstrate your expertise and how they relate to the curriculum.
✨Tip Number 2
Familiarize yourself with the current trends and innovations in computer science education. Being able to discuss how you can contribute to curriculum development will show your commitment to enhancing the teaching experience.
✨Tip Number 3
Since the interview will be conducted via Microsoft Teams, ensure you have a stable internet connection and a quiet environment. Test your technology beforehand to avoid any technical issues during the interview.
✨Tip Number 4
If you have any experience with research projects, be prepared to discuss them in detail. Highlight how your research aligns with the university's focus areas and how it can enhance the employability agenda of the computing course portfolio.
We think you need these skills to ace Lecturer in Computer Science
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your practical experience in computer science, machine learning, data science, software engineering, cyber security, or artificial intelligence. Use specific examples to demonstrate how your background aligns with the requirements of the role.
Showcase Teaching Commitment: Express your commitment to teaching and curriculum development. Mention any previous teaching experiences, innovative teaching methods you have employed, or contributions to course design that enhance student learning.
Prepare for Selection Activities: Be ready to participate in various selection activities as part of the recruitment process. Think about how you can showcase your skills and knowledge during these activities, especially in a virtual setting like Microsoft Teams.
Review Application Requirements: Double-check the application requirements, including the need for a satisfactory DBS disclosure. Ensure that all necessary documents are prepared and that you meet the minimum criteria outlined in the job description.
How to prepare for a job interview at Teesside University
✨Showcase Your Practical Experience
Make sure to highlight your wealth of practical experience in areas like machine learning, data science, or software engineering. Prepare specific examples of projects you've worked on that demonstrate your expertise and how they relate to the curriculum.
✨Discuss Curriculum Development
Be ready to talk about your ideas for curriculum development. Think about how you can contribute to enhancing the teaching portfolio and be prepared to share any previous experiences you have in this area.
✨Prepare for Selection Activities
Since the interview process may include various selection activities, practice common interview questions and consider how you would approach teaching demonstrations or group discussions. This will help you feel more confident during the interview.
✨Familiarize Yourself with Microsoft Teams
As the interview will take place via Microsoft Teams, ensure you are comfortable using the platform. Test your audio and video settings beforehand, and find a quiet space to minimize distractions during the interview.
