Address
Form of work
SalaryComputer Science/ Cyber Security/ Artificial Intelligence
The University of Wolverhampton has created a series of exciting new online masters’ programmes in Artificial intelligence and Cybersecurity which are open to students the world over. We are now seeking to create a roster of online faculty who can support our students, either as Associate Lecturers or as Dissertation Supervisors. Successful applicants will join the faculty and will be called upon as needed to support our thrice yearly intakes across a wide range of modules.
Our online programmes attract students from across the globe. We pride ourselves on providing our Associate Lecturers / Dissertation Supervisors with a flexible working environment that lends itself to part time working.
All work is paid at the hourly rate is subject to normal deductions and pension contributions.
Associate Lecturers: All studying takes place online asynchronously through pre-prepared modules. Each module has been written by a subject matter expert and students are supported through their learning journey by the online faciliatory team of Associate Lecturers.
The role of the Associate Lecturer plays a critical role in supporting students through their learning journey. Associate Lecturers are appointed to work on specific modules.
Dissertation Supervisors: Online Dissertation Supervisors support students to complete an independent piece of research through a structured module.
Main Duties
Typical duties include but are not limited to:
Tutoring postgraduate students online, from diverse backgrounds, in a specific field of expertise.
Use the virtual learning environment Canvas to engage with students, mainly via online discussions, activities and interactions.
Supporting students to navigate the VLE to work through pre-determined content, and to complete formative and summative assignments.
Supporting students in accomplishing established learning objectives.
Completing formative and summative feedback to assess coursework and other related assignments, discussions and activities.
Being adaptable to engage with different content across a range of modules.
Timely and courteous response to online correspondence from students, and the wider online faculty team.
Working collegiately within and online faculty team.
Supporting assessment and supervision of dissertation projects.
We are seeking enthusiastic dedicated individuals for the above roles who hold a minimum of an MSc in Computer Science or a relevant discipline or have equivalent experience. We are particularly looking for applicants with expertise in Cybersecurity, Artificial Intelligence or Data Science.
Interviews and recruitment will take place throughout the advertised period, if you are interested please apply as soon as possible and we will get in touch with an interview date. The starting date for these roles will be May 2024.
If you would like to discuss either of the above roles further, please contact Dr Paul Wilson (pauljwilson@wlv.ac.uk)
The University of Opportunity for Students and Staff
As part of our commitment to ensure the diversity of our staff body reflects those of the student and local communities we serve, we particularly welcome applications from candidates of Black, Asian, or Ethnic Minority heritage, and candidates who are Disabled (including people who may not define themselves as disabled, but nevertheless encounter challenges)
PLEASE NOTE: Applications are scored against the criteria set out in the job description and person specifications attached to this advert. Applications are not assessed against the job advert so please ensure your applications are crafted against the Job Description and Person Specification contained within it.
