Total 158 Education / Training job vacancies in Glasgow, Scotland, G672RF

UE07: £39,347.00 - £46,794.00 Per Annum.

College of Science & Engineering / School of Mathematics.

Fixed Term Contract - 36 months.

Full Time - 35 Hours Per Week.

We are looking for a talented early career researcher in fluid dynamics and/or machine learning, with expertise in computational methods to work on the project “A new understanding of turbulence via a machine-learnt dynamical systems theory” (UKRI Frontier Research Guarantee for an ERC Starting Grant).

The Opportunity:

The dynamical systems view of turbulence, in which the flow “pinballs” between exact coherent states (ECS), is a promising way to unify our statistical understanding of turbulence with a mechanistic understanding of the complex self-sustaining processes that underpin it. Historically, this approach has been restricted to weakly turbulent flows due to the difficulty of identifying and converging ECS, and this project will seek to use advances in machine learning and automatic differentiation to overcome these barriers.

A core part of this project is the development and interpretation of state-of-the-art machine learning (ML) models to model and predict high Reynolds number fluid flows. This will be the focus of this particular postdoc, where the post-holder will work on a combination of: (1) low order models for high-dimensional flows, e.g. generated via self-supervised learning, to parameterise the inertial manifold; (2) super-resolution/data-assimilation strategies incorporating the flow solver in the loss; (3) the application of interpretability techniques to attempt to reverse-engineer large ML models to extract latent learned physical concepts. The latter area is developing rapidly in the context of large language models but has not been explored in detail for physical problems.

There are significant computational resources set aside specifically for the post-holder, along with PI, to train large models (access to a dedicated GPU cluster with ~160 A100/H100 cards). There is scope for a strong candidate to shape the research direction.

Relevant reading:

Page, Norgaard, Brenner & Kerswell, “Recurrent flow patterns as a basis for turbulence: predicting statistics from structures”, Proceedings of the National Academy of Sciences 121 (2024)
Templeton, et al., “Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet”, Transformer Circuits Thread (2024)
Kochkov et al, “Machine learning-accelerated computational fluid dynamics”, Proc. Nat. Acad. Sci. 118 (2021)

Your skills and attributes for success:

Excellent knowledge of fluid mechanics fundamentals
Experience implementing machine learning approaches and/or high performance computing for flow simulations (Desirable).
Strong coding skills in an object-oriented language
Experience with machine learning libraries (e.g. one or more of JAX, TensorFlow, PyTorch) would be highly beneficial (Desirable).

College of Social Sciences
School of Education

Technology Education Technician
Vacancy Reference: 147510
Grade/Pay Scale: UofG Grade 6, £32,332 - £36,024 per annum (pro rata)

The University of Glasgow has been changing the world for more than 572 years. Today, we are one of the world's top 100 universities and ranked 13th in the world in the Times Higher Education (THE) World Impact Rankings 2023, demonstrating that we are not only one of the best universities in the United Kingdom, but one of the best universities for the world. Our people have always been at the forefront of innovation, and our past achievements inspire our current world changers.

An exciting opportunity has arisen for a Technology Education Technician to join the School of Education.

In this role, the successful candidate will manage and deliver high quality technical support services across the teaching laboratory and workshop space used by the School of Education, including providing specialist technical expertise in relevant technological disciplines.

The postholder will have responsibility for the organisation and day-to-day running of the laboratory, workshop and specialist facilities. This includes ensuring equipment, apparatus and consumables are available for use as required.

In addition, the postholder will be responsible for overseeing the work of the teaching support staff and practical skills laboratory sessions for MDTechEd students.

This post is offered on an open ended (permanent) basis and will be full time (35 hours per week), during term time (36 weeks) to tie in with the University term dates.

Proud member of the Disability Confident employer scheme

Grade UE08: £48,350 - £59,421

College of Science & Engineering / School of Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Contract type: Full-time (35 hours per week)

Fixed term for up to 5 years

The Opportunity:

This position is affiliated with the UKRI APRIL AI Hub that aspires to develop AI tools to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI Hubs, this is a highly visible programme both nationally and internationally.

The post-holder will work closely with a team of talented researchers and the APRIL operations team to lead the development of novel AI capabilities, tools and methodologies that can enhance the productivity of engineers in designing, developing and testing advanced electronic devices and systems. More specifically, the post-holder should have experience in developing and introducing AI tools into commercially available circuit design tools that can autonomously synthetise circuits and systems architectures. The aim is to drastically reduce the design time and optimise the transfer of known topologies into new CMOS technologies.

The post-holder will have the ability to engage with world-leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions but also industrial partners to ensure relevance of their Research in addressing state-of-art challenges in electronics.

The successful candidate will have experience of project development and project leadership in a research context, together with excellent communication, presentation, and organisational skills. They will enjoy working in a dynamic environment and be able to work on their own initiative as well as being an active team member. The role will report to the APRIL Hub Director (Principal Investigator), with on-going engagement with other researchers in the Hub as well as academic leads.

Your skills and attributes for success:

A 1st class undergraduate degree and a PhD in Electronics or AI, or a clearly related area, with a proven contact with Circuits and Systems Design, or a closely related area or equivalent industry experience.
Experience in AI tools for Circuits and Systems Design automation; Experience with EDA tools.
A track record of research in AI, with a specific focus on Circuits and Systems Design or a closely related area.
Experience in delivering research project results in a Circuits and Systems Design and/or AI context; i.e. a record of peer-reviewed journal and conference papers in a relevant area.
Ability to be adaptive and accepting of new ideas and a willingness to approach new challenges and adjusts plans to meet new priorities

Deputy Head of Education Technology at the University of Strathclyde:

The University of Strathclyde is seeking a dynamic and experienced Deputy Head of Education Technology to join Education Enhancement and manage highly motivated multidisciplinary team in delivering our Digital Learning and Teaching ecosystem (Myplace). Reporting to the Head of Education Technology, you will play a critical role in operational management, team leadership, and the development of the Myplace (Moodle) digital teaching and learning platform. This position requires expertise in education technology, learning design, and systems thinking, along with a proven track record in successful delivery of technology-based educational enhancement projects.

In this role, you will manage the Myplace support service, oversee complex digital education projects, and provide specialist advice on learning design and technology. You will also deputise for the Head of Education Technology in various committees and project meetings, ensuring effective delivery of strategic objectives and fostering strong relationships with internal and external stakeholders. The ideal candidate will have excellent communication and people management skills, a proactive approach to problem-solving, and the ability to work both independently and as part of a team. This is an exciting opportunity to contribute to the university's strategic education priorities and enhance the digital learning experience for students and staff alike.

Education Enhancement: https://youtu.be/sNg_gVJVVw8?si=9LAquTkHWLisH5bs

Proud member of the Disability Confident employer scheme

Grade, Salary Range: UE07, £39,347.00 - £46,974.00

School of Engineering, College of Science & Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Full-time 35 hours per week

Fixed term for up to 5 years



The Opportunity:

This position is affiliated with the UKRI APRIL AI Hub that aspires to develop AI tools to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI Hubs, this is a highly visible programme both nationally and internationally.

The post-holder will work closely with a team of talented researchers and the APRIL operations team to support the development of novel AI capabilities, tools and methodologies that can enhance the productivity of engineers in designing, developing and testing advanced electronic devices and systems. More specifically, the post-holder will be able to develop and introduce AI tools in electronics testing and verification for predicting what to test and when. The research spans from improving scenario coverage in certification tests across devices/systems to automatically deciphering underlying physical mechanism is emerging beyond-CMOS devices.

The post-holder will have the ability to engage with world-leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions but also industrial partners to ensure relevance of their Research in addressing state-of-art challenges in electronics.

The successful candidate will have excellent communication, organisation, and technical skills. They will enjoy working in a dynamic environment and be able to work on their own initiative as well as being an active team member. The role will report to the APRIL Hub Director (Principal Investigator), with on-going engagement with other researchers in the Hub as well as academic leads.

This role is UE07 and is available on a fixed term basis for up to 60 months.

A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job description below.



Your skills and attributes for success:

-A 1st class undergraduate degree and a PhD in Electronics or AI, or a clearly related area, with a proven contact with Electronics Testing and Verification, or a closely related area or equivalent industry experience.
-Experience in AI tools for Electronics Testing & Verification automation and with with Electronics Testing and instrumentation.
-A track record of research in AI, with a specific focus on Electronics Testing and Verification or a closely related area.
-Experience in delivering research project results in an Electronics Testing and Verification and/or AI context; i.e. a record of peer-reviewed journal and conference papers in a relevant area.
-Ability to be adaptive and accepting of new ideas and a willingness to approach new challenges and adjusts plans to meet new priorities.

UE08, £48.350 - £59,421

School of Engineering, College of Science & Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Full-time 35 hours per week

Fixed term for up to 5 years

The Centre for Electronic Frontiers (CEF) at the University of Edinburgh is accepting applications for an experienced Research Fellow in AI for Electronics Testing & Verification automation. The position will be based at the King’s Buildings Campus.

The Opportunity:

This position is affiliated with the UKRI APRIL AI Hub that aspires to develop AI tools to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI Hubs, this is a highly visible programme both nationally and internationally.

The post-holder will work closely with a team of talented researchers and the APRIL operations team to lead the development of novel AI capabilities, tools and methodologies that can enhance the productivity of engineers in designing, developing and testing advanced electronic devices and systems. More specifically, the post-holder should have experience in developing and introducing AI tools in electronics testing and verification for predicting what to test and when. The research spans from improving scenario coverage in certification tests across devices/systems to automatically deciphering underlying physical mechanism is emerging beyond-CMOS devices.

The post-holder will have the ability to engage with world-leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions but also industrial partners to ensure relevance of their Research in addressing state-of-art challenges in electronics.

The successful candidate will have experience of project development and project leadership in a research context, together with excellent communication, presentation, and organisational skills. They will enjoy working in a dynamic environment and be able to work on their own initiative as well as being an active team member. The role will report to the APRIL Hub Director (Principal Investigator), with on-going engagement with other researchers in the Hub as well as academic leads.

Your skills and attributes for success:

A 1st class undergraduate degree and a PhD in Electronics or AI, or a clearly related area, with a proven contact with Electronics Testing and Verification, or a closely related area or equivalent industry experience.
Experience in AI tools for Electronics Testing & Verification automation and with with Electronics Testing and instrumentation.
A track record of research in AI, with a specific focus on Electronics Testing and Verification or a closely related area.
Experience in delivering research project results in an Electronics Testing and Verification and/or AI context; i.e. a record of peer-reviewed journal and conference papers in a relevant area.
Ability to be adaptive and accepting of new ideas and a willingness to approach new challenges and adjusts plans to meet new priorities.

School of Engineering, College of Science & Engineering

Institute/Discipline: Institute for Integrated Micro and Nano Systems

Grade, Salary Range: UE07 £39,347.00 - £46,974.00 Per Annum

Contract type - Fixed term for 24 months,

Full Time - 35 hours Per Week

Number of posts: 1



The Opportunity:

This Research Associate position will contribute to the Centre for Electronic Frontiers (CEF) within the Institute for Integrated Micro and Nano Systems at the University of Edinburgh, which is funded by EPSRC and in collaboration with colleagues at Imperial College London and University of Manchester.



This position is also affiliated with a prestigious Royal Academy of Engineering Chair in Emerging Technologies held by Regius Chair of Engineering Prof Prodromakis, Director of CEF. The appointee will support the delivery of the vision of this 10-year programme that aspires developing Embedded AI Hardware solutions for Lifelong Learning applications.



This post will involve the development of integrated circuits (IC) for a wide range of embedded AI hardware applications such as AI accelerators, autonomous sensors, biomedical implants, robotic systems, adiabatic computing, and hardware security modules, etc. It will also involve validating and demonstrating the performance of the developed ICs in solving real-world problems.



This role is UE07 and is available on a fixed term basis initially for up to 24 months.

A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job description below.



Your skills and attributes for success:

A PhD in Electronics, or an undergraduate/master degree plus industrial experiences as a senior IC designer.
Proven track record of research or industrial experience in analogue and mixed-signal IC design.
Experienced with EDA design flows; has one or more successful IC tape-outs and is experienced with IC testing.
Capable of working collaboratively with researchers from different disciplines or technical background, able to develop and maintain effective working relationships.
Capable of working independently, exercising a high degree of initiative and demonstrating a pro-active and flexible approach to work.

College of Science & Engineering Administration

Research Support Administrator
Vacancy Reference: 152156
Salary: UofG Grade 5, £25,138 - £29,605 per annum

The University of Glasgow has been changing the world for more than 572 years. Today, we are one of the world's top 100 universities and ranked 13th in the world in the Times Higher Education (THE) World Impact Rankings 2023, demonstrating that we are not only one of the best universities in the United Kingdom, but one of the best universities for the world. Our people have always been at the forefront of innovation, and our past achievements inspire our current world changers.

An exciting opportunity has arisen for a Research Support Administrator to join the College of Science and Engineering on a permanent basis.

In this role, the successful candidate will provide comprehensive research management support, administration and process advice and guidance to Project Co-ordinators and Principal Investigators across the college, fostering a strong customer service culture.

The postholder will be the main point of contact between College staff and University Services Research Support Office staff to clarify, and implement administrative requirements and resolve issues in order to provide effective research management support to Principal Investigators.

Furthermore, you will provide administration support to the College Research Office.

This post is full time (35 hours per week) and offered on an open ended basis.

Proud member of the Disability Confident employer scheme

UE07: £39,347.00 - £46,974.00 Per Annum.

CMVM / Edinburgh Research Centre.

Open Ended Contract - Permanent.

Full Time - 35 Hours Per Week.

The Opportunity:

An exciting opportunity has arisen for a Senior Research Technician to join the Rheumatology research team at the Institute of Genetics and Cancer. The post holder will have extensive experience in skeletal joint biology and arthritis research, and enthusiasm to support an internationally competitive research programme which builds upon or shows synergy with those of other research groups at the University of Edinburgh. The post holder will also contribute to daily supervision of laboratory students.

This is an open-ended (i.e. permanent) post and is full-time (35 hours per week).

Your skills and attributes for success:

Extensive experience in skeletal joint biology and arthritis research, and with histology and microscopy techniques relevant to the area of research.
Ability to optimise and validate laboratory techniques.
Proven ability to contribute to writing manuscripts and reports.
Experience in the provision of day-to-day supervision of laboratory students.
Excellent organisational and time management skills.

UE06: £32,982.00 - £38,205.00 Per Annum.

CMVM / MGPHS / USHER Institute.

Fixed Term - available from from 1st October 2024 - for 12 months in the first instance.

Full Time - 35 hours per week.

Location: Usher Building, 5-7 Little France Road, Edinburgh BioQuarter - Gate 3, Edinburgh, EH16 4UX

The Centre for Population Health Sciences at the Usher Institute, within The University of Edinburgh, is looking for a Research Assistant to work on a range of high impact and innovative research projects. The main project this post will support is an MRC PHIND (Medical Research Council, Public Health Intervention Development Study) study to prevent vaping in young people. In addition to this, the post holder will support other projects which are part of the research team’s portfolio. Currently this includes: a process evaluation of a paracetamol overdose study; prevention of gambling harm in secondary schools; and a feasibility study to support people in recovery from problematic drug or alcohol use to cut down or stop smoking.

The Opportunity:

This is a fantastic opportunity for a motivated and pro-active individual to gain research, project management, and topic expertise in applied public health research. Working with a highly experienced team of academics and third sector colleagues, the successful candidate will gain applied experience in complex health behaviour change intervention design and evaluation, particularly process evaluation. The successful candidate will require research skills in conducting and analysing qualitative or quantitative research and report writing. In addition to this, they will also have strong organisational skills to set up and co-ordinate team members to assist with fieldwork. You will have a Masters degree in a relevant area and be able to demonstrate initiative, resourcefulness and a proactive approach to help plan and conduct original research with a range of stakeholders.

Informal enquiries may be directed to Dr Fiona Dobbie, Senior Lecturer and Director of Research for the Usher Institute, fiona.dobbie@ed.ac.uk

We will consider requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular (weekly) on-campus working. The Usher Institute expects a minimum of 40% on-campus working.

Your skills and attributes for success:
• Ability to work as part of multidisciplinary team
• Ability to work alongside people from marginalized or underserved groups
• Ability to work independently but to know when to ask for help and support
• To have a genuine interest in applied public health research and willingness to develop skills in research, analysis and dissemination.

Grade, Salary Range: UE07, £39,347.00 - £46,974.00

School of Engineering, College of Science & Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Full-time 35 hours per week

Fixed term for up to 5 years



The Opportunity:

This position is affiliated with the UKRI APRIL AI Hub that aspires to develop AI tools to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI Hubs, this is a highly visible programme both nationally and internationally.

The post-holder will work closely with a team of talented researchers and the APRIL operations team to support the development of novel AI capabilities, tools and methodologies that can enhance the productivity of engineers in designing, developing and testing advanced electronic devices and systems. More specifically, the post-holder will be able to develop and introduce AI tools in electronics testing and verification for predicting what to test and when. The research spans from improving scenario coverage in certification tests across devices/systems to automatically deciphering underlying physical mechanism is emerging beyond-CMOS devices.

The post-holder will have the ability to engage with world-leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions but also industrial partners to ensure relevance of their Research in addressing state-of-art challenges in electronics.

The successful candidate will have excellent communication, organisation, and technical skills. They will enjoy working in a dynamic environment and be able to work on their own initiative as well as being an active team member. The role will report to the APRIL Hub Director (Principal Investigator), with on-going engagement with other researchers in the Hub as well as academic leads.

This role is UE07 and is available on a fixed term basis for up to 60 months.

A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job description below.



Your skills and attributes for success:

-A 1st class undergraduate degree and a PhD in Electronics or AI, or a clearly related area, with a proven contact with Electronics Testing and Verification, or a closely related area or equivalent industry experience.
-Experience in AI tools for Electronics Testing & Verification automation and with with Electronics Testing and instrumentation.
-A track record of research in AI, with a specific focus on Electronics Testing and Verification or a closely related area.
-Experience in delivering research project results in an Electronics Testing and Verification and/or AI context; i.e. a record of peer-reviewed journal and conference papers in a relevant area.
-Ability to be adaptive and accepting of new ideas and a willingness to approach new challenges and adjusts plans to meet new priorities.

UE08, £48.350 - £59,421

School of Engineering, College of Science & Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Full-time 35 hours per week

Fixed term for up to 5 years

The Centre for Electronic Frontiers (CEF) at the University of Edinburgh is accepting applications for an experienced Research Fellow in AI for Electronics Testing & Verification automation. The position will be based at the King’s Buildings Campus.

The Opportunity:

This position is affiliated with the UKRI APRIL AI Hub that aspires to develop AI tools to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI Hubs, this is a highly visible programme both nationally and internationally.

The post-holder will work closely with a team of talented researchers and the APRIL operations team to lead the development of novel AI capabilities, tools and methodologies that can enhance the productivity of engineers in designing, developing and testing advanced electronic devices and systems. More specifically, the post-holder should have experience in developing and introducing AI tools in electronics testing and verification for predicting what to test and when. The research spans from improving scenario coverage in certification tests across devices/systems to automatically deciphering underlying physical mechanism is emerging beyond-CMOS devices.

The post-holder will have the ability to engage with world-leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions but also industrial partners to ensure relevance of their Research in addressing state-of-art challenges in electronics.

The successful candidate will have experience of project development and project leadership in a research context, together with excellent communication, presentation, and organisational skills. They will enjoy working in a dynamic environment and be able to work on their own initiative as well as being an active team member. The role will report to the APRIL Hub Director (Principal Investigator), with on-going engagement with other researchers in the Hub as well as academic leads.

Your skills and attributes for success:

A 1st class undergraduate degree and a PhD in Electronics or AI, or a clearly related area, with a proven contact with Electronics Testing and Verification, or a closely related area or equivalent industry experience.
Experience in AI tools for Electronics Testing & Verification automation and with with Electronics Testing and instrumentation.
A track record of research in AI, with a specific focus on Electronics Testing and Verification or a closely related area.
Experience in delivering research project results in an Electronics Testing and Verification and/or AI context; i.e. a record of peer-reviewed journal and conference papers in a relevant area.
Ability to be adaptive and accepting of new ideas and a willingness to approach new challenges and adjusts plans to meet new priorities.

College of Medical, Veterinary and Life Sciences
College Services

Learning Technology Advisor (3 positions)
Vacancy Ref: 151809
Salary: Grade 6, £32,332 - £36,024 per annum

We have an exciting opportunity for 3 Learning Technology Advisors to join the College of Medical, Veterinary and Life Sciences (MVLS).

In these roles, the successful candidates will support the development of online courses and programmes across the College of MVLS, working closely with academics to support their use of learning technologies and update and edit course materials. Providing advice and upskilling support from a digital perspective.

These posts are full time (35 hours per week) and are fixed term for up to 3 years in the first instance. Relocation assistance will be provided where appropriate.

Proud member of the Disability Confident employer scheme

Grade UE07: £39,347 to £46,974 per annum.
School of Biological Sciences / Institute of Cell Biology / CSE
Full time: 35 hours per week
Fixed Term: from 10th January 2025 until 9th January 2026.

We are looking for an enthusiastic Postdoctoral Research Associate in mammalian circadian research.

This post is advertised as full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns.

The Opportunity:

To carry out research into the cell biology and protein biochemistry of mammalian circadian rhythmicity.

Your skills and attributes for success:

A PhD (or to be obtained within 3 months) in a relevant area.
Experience in expression and purification of recombinant proteins.
Experience in biophysical and structural biology techniques.
Experience in mammalian tissue culture.
Experience in circadian biology.

Flexible Location: Based throughout Scotland, NES is a remote friendly employer supporting office and hybrid working. Frequent presence at the Glasgow and Edinburgh offices is a requirement of this role. We’re happy to talk about how you want to work.

Work Pattern: Fixed-term, Full Time, 37 hours per week. 

Fixed-term or Secondment** until 31 March 2027

**For NHS applicants, an NHS secondment will be offered in the first instance. For non-NHS applicants, a fixed-term or secondment would be considered.

You must have eligibility and entitlement to work in the UK which is required to be maintained throughout your period of employment.



Who We Are

NHS Education for Scotland (NES) is the national health board with statutory responsibilities to effect sustainable change through workforce development, education and training across the health and social care system in Scotland, while working at UK level with partner organisations.

The Armed Forces Talent Programme (AFTP) is a national programme which sits within NHS Education for Scotland and forms part of the Organisational Development, Leadership and Learning (ODLL) team, within the Workforce Directorate. The Armed Forces Talent Programme is working to ensure NHS Scotland - one of Europes largest employers - benefits from the talent, ability and experience of the Armed Forces community: those still serving or about to leave HM Armed Forces, veterans, Reservists, the cadet movement and the families supporting those who serve.

The Opportunity

We are looking for a Principal Lead to join our small, but highly talented and growing team to drive, shape and lead the Armed Forces Talent Programme. This important and purposeful programme will help contribute to solving some of the most complex workforce challenges in health and social care whilst also making NHS Scotland one of the best places for those from the Armed Forces community to work.

As the Principal Lead for the Armed Forces Talent Programme you will drive the delivery of an ambitious programme, shape the next steps and set the long term aspirations, whilst providing strategic leadership and direction, working collaboratively across multiple workstreams and liaising with stakeholders.

Do you want to support NHS Scotland’s workforce and the Armed Forces community?

Do you enjoy collaborating and problem solving with a wide and varied range of stakeholders?

Do you thrive in leading and growing successful and happy teams?

Do you enjoy the challenge of defining, designing and delivering novel and innovative solutions to complex problems?

Do you enjoy roles with purpose and impact at the heart of everything you do?

Working within the Armed Forces Talent Programme team you will have the opportunity to bring your background and experience of working in or with the Armed Forces to create, collaborate, challenge and contribute across multiple workstreams to effect real change within NES, and further afield.

Does this sound like you?

What We Love to See

Principal Leads need to offer a broad range of skills and experience, if you can offer some or all of these, we would love you to apply:

A background in and, or, understanding of the Armed Forces community and the skills, knowledge and experience they bring to the workforce

Proven experience leading and delivering complex workforce programmes

Ability to balance strategic outlook with focussed delivery

A self-starter with a high level of motivation and initiative

Ability to build highly effective working relationships internally and externally 

A strong and effective communicator

Ability to lead and grow successful teams

Benefits Which Matter

As a valued employee of NHS Scotland, you can enjoy an extensive range of benefits including:

Life-work balance - with opportunities for flexible working and hybrid working

Generous NHS pension scheme

Annual incremental salary progression (up to the maximum of the salary band) plus annual NHS salary scale review

Annual Leave - 27 Days increasing in line with service plus 8 days public holiday

NHS discounts and more

Diversity and Inclusion

Developing a successful national service for Scotland is impossible without ensuring we consider the diverse needs, perspectives, and backgrounds of everyone in Scotland in our work. 

We are focused on hiring the very best talent available for NES, and actively encourage applications from candidates of all backgrounds and aim to ensure everyone is treated fairly, with respect and has a positive recruitment experience – regardless of the outcome. 

It’s not essential to be in a Principal Lead role right now. You may be returning from a career break (e.g. maternity, paternity, caring for others) or returning after working in another field. Your experiences elsewhere can bring a fresh perspective to our work.

If you are considering applying and feel it would be helpful to discuss this initially, please contact Janice Gibson, Associate Director (ODLL) via janice.gibson3@nhs.scot



Next Steps

**NHS candidates will be considered firstly on a secondment basis, and so are strongly encouraged to discuss this with their current NHS employer at the earliest opportunity, ideally prior to application.

Our recruitment process is currently 100% remote and if successful you would initially work remotely, working from our offices as operationally required.

All applicants who are shortlisted for interview will be contacted by e-mail.

Online interviews (including a presentation) will take place on Wednesday 7 & Thursday 8 August 2024. The presentation topic will be sent to candidates selected for interview.

If you have any queries regarding the NHS Scotland National Recruitment Portal or the recruitment process, please don't hesitate to contact our recruitment partners, the East Region Recruitment Service, at: EoS.ERRS@nhs.scot

Proud member of the Disability Confident employer scheme