CDT Administrator for Designing Responsible Natural Language Processing CDT

The University of Edinburgh
Edinburgh
1 day ago
Create job alert

CDT Administrator for Designing Responsible Natural Language Processing CDT


Grade UE05: £29,588- £33,951 per annum pro rata


College of Science & Engineering, School of Informatics


Part Time: 24.5 hours per week (0.7 FTE)


Fixed Term: Until April 2028


The Opportunity

The School of Informatics is looking for one part time CDT Administrator to support the Centre for Doctoral Training (CDT) in Designing Responsible Natural Language Processing (NLP), based at the University of Edinburgh. Please see our website here for more information on our training programme.


This position is available from 27th April 2026 until 1st April 2028. We are open to requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.


Your Skills and Attributes for Success

  • Trustworthy and reliable, with a genuine desire to support our students
  • Accurate and meticulous with all tasks, simple or complex
  • Able to prioritise and respond well during peak times of activity
  • Excellent communication skills and a team player

Application Information

Please ensure you include the following documents in your application:



  • CV
  • Cover letter

As a valued member of our team you can expect:



  • A competitive salary
  • An exciting, positive, creative, challenging and rewarding place to work
  • To be part of a diverse and vibrant international community, and a high performing Informatics Graduate School
  • Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family‑friendly initiatives, and flexible work options. Check out the full list on our staff benefits page and use our reward calculator to discover the total value of your pay and benefits

Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.


Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages.


The University is unable to sponsor the employment of international workers in this role. International applicants will therefore be unable to apply for and secure a Skilled Worker visa. They will only be able to take up this role if they can demonstrate an alternative right to work in the UK.


Key Dates to Note

The closing date for applications is 15th January 2026.


Interviews will be held early February.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.