Back to search results
Header Image

Assistant or Associate Professor (End-Point Assessment Lead)

Northeastern University London - Experiential Digital Global Education (EDGE)

The role

Northeastern University London wishes to appoint an Assistant or Associate Professor (End-Point Assessment Lead) to lead the End-Point Assessment (EPA) for our degree apprenticeship portfolio, with expertise in one or more of the following areas:

  • Data Science
  • Data Analytics
  • Business Analysis
  • Cyber Security
  • Software Engineering
  • System Testing
  • IT Business Strategy

The key responsibilities include, but are not limited to:

  • Develop and manage the End-Point Assessment (EPA) function for both integrated and non-integrated degree apprenticeship programmes
  • Perform EPA as the lead assessor and manage associate independent assessors
  • Coordinate EPA processes in line with the regulations
  • Develop relevant training materials

You will be required to work collaboratively: liaising with expert faculty, a team of learning experience designers, industry and academic partners (in both the UK and US) and engaging in wider educational and administrative duties.
We particularly encourage applications from those interested in innovative teaching (including short courses, micro-credentials and the use of technology in education); those with experience supporting a wide variety of students; and those belonging to groups underrepresented in UK higher education. We are open to appointing on a reduced fraction/job-share basis subject to our business needs.

The role is suitable for remote working, providing the appointee can attend the campus for face-to-face work in London when required.

About EDGE

EDGE (Experiential, Digital, Global, Education) is part of Northeastern University’s Global Network and is dedicated to designing and delivering work-related learning throughout the UK and internationally. The EDGE team work remotely, using innovative pedagogical approaches and best practice in digital education and collaboration to ensure an excellent learner experience for individuals or groups of learners, wherever they are based. The EDGE team currently delivers a growing portfolio of work-related learning aligned to digital transformation, data science, artificial intelligence, and project management.

Person Specification:

Qualifications

  • PhD, or equivalent professional experience, or equivalent qualification, in a relevant area of data science or computer science (essential)
  • Higher education teaching qualification, e.g. PGcert, PGCHE, FHEA (desirable)

Key Criteria

  • Experience in UK HE assessment (minimum of 3 years) (essential)
  • Knowledge and experience of degree apprenticeship End-Point Assessment (EPA) (essential)
  • Experience in teaching at undergraduate and/or postgraduate level (essential)
  • Excellent written and verbal communication skills including presentation skills, both face-to-face and online (essential)
  • Ability to develop excellent and cutting-edge online courses in data science and/or computer science that will have significant appeal to learners, including those in work-based settings (essential)
  • Flexibility and capacity to teach (predominantly remotely) across a range of courses (essential)
  • Willingness and capacity to undertake continuous professional development in relation to the use of technology, software, and data in relation to the subject areas (essential)
  • Ability to engage and develop working relationships with faculty, learning designers and technologists, relevant employers and with counterparts across the Northeastern University network (essential)
  • Willingness and capacity to exercise appropriate leadership in the development of the subject areas, and to do so through interdisciplinary collaboration with other fields (essential)
  • Knowledge and experience of Designated Quality Body in England (DQB) regulations and guidance (desirable)
  • Professional experience outside higher education is desirable (desirable)

Enquiries

Informal enquiries may be made to Yu-Chun Pan (yu-chun.pan@nchlondon.ac.uk). However, all applications must be made in accordance with the application process specified.

Application process

Applications should be made via this link by 20.00, 2nd January 2023. Please reference your application “APEPA1022”. Due to the business’s need to appoint at the earliest opportunity, the University may review applications before the deadline and make an appointment. For this reason, early application is encouraged.

Please ensure that you use the application form provided on the link, and provide a CV and cover letter detailing your experience. Please consult our generic academic job description and role characteristics at the following link.

Participation in the equal opportunities section is encouraged, but voluntary.

Applications are welcome from all sections of the community and will be judged on merit alone. Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. The University may be able to provide Tier 2 sponsorship for this position, depending on individual circumstances

Location: London
Salary: £38,000 to £55,000
Hours: Full Time
Contract Type: Permanent
Placed On: 6th December 2022
Closes: 2nd January 2023
Job Ref: AAPT1022
   
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Show all jobs for Northeastern University London …
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge