Total 13 Education / Training job vacancies in Glasgow, Scotland

Job Description

Teacher Primary REF: ECOD/ P01765

Salary: Main grade teachers salary £40,305 – £50,589

Location: St Johns Primary School

Hours: 21 Hours Per Week

Duration: Mat Cover

Inverclyde Council offers a wide range of benefits to employees including flexible working opportunities, attractive pension schemes, a Buy and Bank Annual Leave Scheme, career development and health and wellbeing support.

You can find out more in our Employee Benefits Booklet which is available on our website Employee Benefits - Inverclyde Council

Important Applicant Information:

• Please read the Essential Applicant Information details prior to submitting your application.

• Please note that if you apply via this website it is important that you regularly check your emails following your application submission. All further communication regarding your application, including any invite to interview and, if relevant, details of any formal offer/contract, will be done by email. You should ensure that your email is set up to receive emails from MYJOBSCOTLAND and Inverclyde Council, and that they are not filtered into any JUNK/SPAM folders.

• Inverclyde Council is an accredited Living Wage Employer paying the Living Wage Rate where required. Please click the link to `Essential Applicant Information’ above for more information.

• Inverclyde Council is committed to creating a diverse and inclusive workforce and welcomes applications from all members of the community.

Vetting by Disclosure Scotland

If you work in regulated work (children and/or protected adults) you will be subject to obtaining a satisfactory PVG

GTCS

You will be required to be registered with the GTCS. You are required to obtain and maintain registration including paying any fees. Please note, teachers in their probationary year are welcome to apply for temporary, un-promoted vacancies although would be paid at the probationer rate of pay (Main Grade Scale Point 0) at £31,584 per year (pro-rata, if applicable).

RC Approval

Guidance for teachers seeking Approval to teach in a Catholic school if applicable.

If applicable the successful candidate will require to be approved by the Roman Catholic Church, in line with Section 21 (A) of the Education (Scotland) Act 1980. Forms from the Scottish Catholic Education Service at: http://www.sces.uk.com/approval.html

Head Teacher Reports

Candidates successful at interview need to download and print the appropriate Report. You need to complete the applicant details section and sign the form and then pass to your current HT to complete the assessment sections and sign the form. The form then needs to be sent to Human Resources by email to interview.support@inverclyde.gov.uk and cc the recruiting HT into the email.

Please find below the three types of reports (unpromoted, promoted and senior promoted).
The forms can be downloaded at http://www.inverclyde.gov.uk/jobs-and-careers/apply-for-a-job/preferred-candidate-information/safe-recruitment/employment-references

Further Assistance

Alternative application packs can be requested in other formats for example, Large Print, Braille and Audio. To request an alternative application pack or require further assistance to attend and/or participate in an interview, please contact the HR Recruitment Team on 01475 712740 or email Human Resources at: Human.Resources@inverclyde.gov.uk.

Armed Forces Personnel/Reservists

Inverclyde Council welcomes applications from former armed forces personnel / reservists. Many of the skills picked up during your military career could be transferred directly into a role with local government.

Disability Confident

We are a Disability Confident Leader and offer a guaranteed interview to applicants who consider themselves to be disabled and who meet the essential criteria for the job.

Flexible Working

Inverclyde Council recognises the mutual benefits of having a flexible, effective workforce to deliver the best services to our community, whilst enabling employees to balance their personal, home and work responsibilities more effectively, with a view to achieving greater job satisfaction, motivation, morale and productivity.

Employees are able to apply for a range of options including Part-Time Working, Job share, Compressed Hours, Homeworker, Hybrid Working and Flexible Retirement. More detail can be found in the Flexible Working Policy, linked in the download section of our Employee Benefits web page.

Proud member of the Disability Confident employer scheme

Grade UE06: £33,882 to £39,105 per annum
Medical School / IRR / Clinical Sciences
Full time: 35 hours per week
Fixed Term: for 24 months

The Opportunity:

Founded in 2024, the Learning Model of Life is a cross-college initiative of The University of Edinburgh. We are a constituent of the University’s Generative AI Lab (GAIL) and are supported by EPCC, the UK’s leading centre of Supercomputing and Data Science.

We are now looking for an enthusiastic Software Developer to support this ground breaking program of research. We are a constituent of the University's Generative AI Lab (GAIL) and are supported by EPCC, the UK's leading centre of Supercomputing and Data Science. You'll be instrumental in building and optimising automated tools that handle diverse clinical and biological datasets, which are crucial for the design, development, and training of advanced AI models. Your work will directly contribute to the future of biological science and genetic research. You will work in a vibrant academic environment at the University of Edinburgh, surrounded by experts in biology, medicine, computing, and machine learning. You'll have freedom to innovate, support to grow, and the opportunity to contribute to research that will transform the future of healthcare and beyond.

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

Relevant undergraduate degree, in a relevant discipline (e.g., artificial intelligence, computer science, software engineering).
Experience and skill in data analyses.
Understanding of the principles of security and confidentiality of personal data in a research context.
Ability to thrive in a rapidly changing environment with high ambiguity; self-starter mentality.
Familiarity with Python, Pandas, NumPy, SQL, & Git amongst other.

Grade UE08: £49,250 to £60,321 per annum
School of Health in Social Sciences / CAHSS
Full time: 35 hours per week
Fixed Term: until 31st August 2031

The Opportunity:

Senior Research Fellow (qualitative methods) to join the Discovering Liveability: Co-producing alternatives to suicide prevention project, contributing to the leadership of innovative suicide research that centres liveability and lived/living experience.

This post is full-time (35 hours per week). We are open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular (weekly) on-campus working. This is not a remote role. The position is fixed term between March 2025 and August 2031.

The salary for this post is Grade 8 (£49,250.00 to £60,321.00 per annum), but due to budgetary restrictions, appointments can be made up to step 3 within the grade, so between £49,250.00 and £52,183.00 per annum.

Your skills and attributes for success:

Extensive experience in qualitative methods, including in relation to suicide and/or related fields
Experience of writing high quality, peer-reviewed publications
Experience in research and team leadership and management
A PhD in relevant field
Experience of working collaboratively with ‘experts by experience’ (or similar)

Grade UE07: £40,247 to £47,874 per annum
School of Biological Sciences / Institute of Cell Biology
Full time: 35 hours per week
Fixed Term: for 1 year (1st March 2025 – 28th February 2026)

We are looking for a highly motivated postdoc candidate to lead an innovative research project that integrates kinetochore biology with neuroscience. This project builds on the pioneering discoveries made by the Cheerambathur Lab on the novel roles of kinetochore proteins in brain development and explores how the chromosome segregation machinery is reutilized in post-mitotic neurons to construct and repair neural circuits.

Our research shows that kinetochore proteins, traditionally known for segregating chromosomes during cell division, serve as critical cytoplasmic regulators of neuronal cytoskeleton — impacting dendrite patterning, axonal guidance and synaptogenesis, and neuronal regeneration (Cheerambathur et al., Ouzounidis et al., Domingos et al.). By leveraging the well-established neuronal model, C. elegans as a primary discovery tool and translating key findings to more complex vertebrate neural circuits, we aim to uncover the unknown functions of kinetochores in these major neuronal processes.

The Opportunity:

We specialize in integrating multi-disciplinary approaches, combining the latest in genetics, cell biology, and biochemistry to unravel the mechanistic underpinnings of neuronal processes. Importantly, this position offers a unique opportunity to develop an independent research program in a very novel area of biology, focusing on how the kinetochore and the cytoskeleton interact to influence major neurodevelopmental processes across various organisms.

We welcome applicants from diverse academic backgrounds. Candidates with technical and scientific experience in the areas of cell biology and neuroscience are especially encouraged to apply.

The start date is flexible, and funding is through a recently awarded 7-year Wellcome Trust grant. Requests for informal enquiries should be sent to Dr. Dhanya Cheerambathur (dhanya.cheerambathur@ed.ac.uk). Please include a clear and concise statement outlining your motivation for joining our lab and how you envision contributing to our research team.

Your skills and attributes for success:

Strong motivation to contribute to a novel area of cell biology and neurobiology.
Strong organizational, communication and critical thinking skills.
Command of standard techniques in molecular biology and cell culture (mammalian cells) and/model organisms.
Expertise & training in one or more of the following: cell biology, live-cell and quantitative fluorescence microscopy, quantitative image analysis, electron microscopy, biochemical methods, genome engineering, mass spectrometry and data handling.
A publication record is strongly desired.

Grade UE06: £33,882 to £39,105 per annum
School of Biological Sciences / Institute of Cell Biology
Full time: 35 hours per week
Fixed Term: for one year (1st March 2025 – 28th February 2026)

We are seeking a highly motivated and dedicated research assistant to join an innovative project investigating the novel roles of kinetochore proteins in brain development. This project builds on a pioneering discovery made by the Cheerambathur Lab, which revealed that kinetochore proteins, traditionally known for their role in chromosome segregation during cell division, also have a cell division-independent function during neurodevelopment.

The Opportunity:

As a member of our multidisciplinary research team, you will have the unique opportunity to work with a diverse range of model systems, including C. elegans and in vitro mammalian cell cultures, and employ cutting-edge techniques in genetics, fluorescence microscopy, quantitative image analysis and biochemistry. This is a fantastic opportunity for candidates who are eager to expand their expertise and to thrive in a stimulating and inclusive academic environment equipped with state-of-the-art facilities. You will have access to a wealth of resources, including training courses and conferences, to support your growth as a scientist and work on your own professional development.

Candidates with a degree in cell biology, biochemistry, genetics, or neuroscience and knowledge or experience in cell culture and/or biochemical techniques are strongly encouraged to apply.

The start date for this position is flexible and will be funded through a Wellcome Trust grant. Requests for informal enquiries should be sent to Dr. Dhanya Cheerambathur (dhanya.cheerambathur@ed.ac.uk).

Your skills and attributes for success:

Strong motivation to learn new skills and collaborate effectively within a team.
Excellent time management, communication, and organizational skills, with meticulous attention to detail.
Proficiency in standard molecular biology techniques.
Knowledge of biochemistry and/or experience with cell culture (mammalian cells) or model organisms is a plus.

Eesearch Contracts, IP and Governance Specialist
Grade 8 (£46,485 - £55,295 increasing to £46,735 - £55,755 from March 2025)
Full time, Permanent

Abertay is a modern university with a global outlook, rooted in its local and national communities. We have made our mark with high quality, well-directed teaching and research, and a stimulating and enriching experience for our students.
Research, Innovation and Enterprise Support Office (RIES)

You will join a small professional team and help drive the development of a newly formed RIES Office. The new RIES Office brings together staff, support and management functions from across the University, to provide an integrated, efficient, and coherent support and management service for the funding submission and award lifecycle. The RIES Office team will provide expert advice, guidance and operational support for the entire university RKE portfolio. The team will collaborate with the academic community, various university leadership groups and support services, to deliver against university and external key performance indicators to ensure the University’s compliance with major funders and government agencies.

The new RIES Office is co-located with the Graduate School team, who provide support and professional development opportunities to our vibrant postgraduate and researcher community. The teams are overseen by the Dean of Research and the Graduate School within a dedicated facility at the heart of the University. Together the RIES and Graduate School teams are central to the continued development of our excellent research culture and environment, supporting delivery of the University’s Research and Knowledge Exchange Strategy R-LINCS (https://www.abertay.ac.uk/research-overview/research-strategy-and-structure/), and achievement of its RKE ambitions.

The University now seeks to appoint a Research Contracts, IP and Governance Specialist.

Reporting to the Head of the Research Innovation and Enterprise Support (RIES) office, you will play a major role in the development and management of research contracts, intellectual property (IP) and governance within the University. You will be involved primarily in drafting, reviewing and negotiating research related contracts (such as agreements covering research funding and IP, multi-party collaborations, sub-contracting arrangements, external consultancies, receiving / disclosing confidential information, materials and data transfer). You will provide essential guidance, due diligence and risk management to ensure compliance with funder, UK and international regulations, including export control and Trusted Research.

This is a key role offering immediate availability, reporting to the Head of Research, Innovation and Enterprise Support. You will support, guide, prepare and manage research contracts and governance in collaboration with individual researchers and research teams from across the University, and liaise with the Research Executive, the Research and Academic Leadership Groups and colleagues within the Research Innovation and Enterprise Support office, as appropriate and in line with the University Research and Knowledge Exchange Strategy R-LINCS (https://www.abertay.ac.uk/research-overview/research-strategy-and-structure/).

If you believe you have the skills and experience for this exciting and challenging role, please submit your application through our online recruitment system, which can be found at https://www.abertay.ac.uk/discover/work-here/jobs/

Committed to Equal Opportunities
Abertay University is a Scottish Registered Charity,
No: SC016040

Grade UE07: £40,247 - £47,874 per annum

College of Medicine & Veterinary Medicine / Institute of Regeneration and Repair / Centre for Inflammation Research

Full-time: 35 hours per week

Fixed Term: 17 months but appointment over pay band UE07/33 may result in shortening of contract.



We are looking for an enthusiastic post-doctoral researcher to contribute to an exciting new collaborative project, funded by the Medical Research Council, that is focused on a promising G-protein coupled receptor target in metabolic dysfunction-associated steatotic liver disease (MASLD).

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:

This exciting project, in collaboration with experts in Molecular Pharmacology at the University of Glasgow, aligns well with the PI’s broader programme of translational liver research, with a focus on the development of new therapies for MASLD and other chronic liver diseases (https://www.ed.ac.uk/inflammation-research/people/principal-investigators/prof-jonathan-fallowfield). The post-holder will support these research interests, being an outstanding team player, ready to work within a multidisciplinary research group driven by a collegiate, collaborative ethos.



Your skills and attributes for success:

A 1st class or 2:1 degree in a biological sciences subject.
A PhD in a biological sciences area, either completed or awaiting examination.
Expertise in in vivo animal (mouse) work – use of transgenic mice, metabolic cages, animal handling, schedule 1 procedures (appropriate Home Office licences in place).
Independently proficient in basic laboratory techniques (e.g., immuno-histochemistry, qPCR).
First author or co-author publication(s) in good scientific journal(s).

Clinical grade AMN2: £43,504 - £64,461 per annum, pro-rata if part-time

CMVM/Edinburgh Medical School/Institute of Regeneration and Repair/Centre for Reproductive Health

Full-time: 40 hours per week

Fixed-term: for 12 months





The Opportunity:

This Albert McKern fellowship is aimed at enabling outstanding predoctoral obstetrics and gynaecology specialty trainees to obtain an externally funded clinical training PhD fellowship in a subject area related to the to study pain and distress during pregnancy, encompassing but not limited to the impacts of adverse pregnancy on the mother, fetus and subsequent generations, and how pregnancy is impacted by adverse maternal health. This post is full-time (40 hours per week). We are open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. Start date flexible and the post will last 12 months from the start date.



Your skills and attributes for success:

Outstanding predoctoral clinical fellow looking to obtain an externally funded clinical training PhD fellowship.
Excellent team player and collaborator to contribute as a key member of a team of researchers, under supervision from the Principal Investigator.
Exceptional communications skills and attention to detail to maintain accurate and up-to-date records to document research progress and take a lead role in writing up data for publication.
Drive and motivation to undertake training in in clinical and laboratory methods and maintain clinical skills by participation in clinical on-call, out-patient clinic. investigation lists and continuing professional development.

Grade UE08: £49,250 - £60,321 per annum

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.

Flexible Location: NES is a remote friendly employer supporting office, remote and hybrid working. 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 March 31st 2025
** 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.
NES Technology Service has created a strategic programme for the transformation of digital based services to allow NES to become a leading digital organisation in Scottish Health, digital by default and fully aligned with the Scottish Government’s technology strategies.
Our Technology
We are in the business of providing safe, secure and innovative technology products and services that aim to improve outcomes across education, training, workforce, health and care in the public sector in Scotland.

The Opportunity
While to date the majority of the products that NES Technology Service develop are for use by the health and social care workforce, we are now tasked with working on new national scale digital services for the general public. This is an exciting new portfolio of work and we are looking for an experienced design leader to lead our cross-disciplinary public-facing design work.
Do you want to play a lead role in ensuring new public-facing digital services are both valuable and usable by people across Scotland?
Do you enjoy defining and directing design work across the disciplines of user research, service design, UX, UI and content design?
Do you enjoy establishing and overseeing efficient and impactful design operations and other valuable reusable assets?
Do you work well with technology and product professionals, ensuring design talent can seamlessly provide their expertise throughout the product life cycle?
Do you enjoy understanding and articulating user behaviours, needs and motivations to help teams design systems that reflect a deep understanding of t
Working within the User Centred Design team you will have the opportunity to set the direction for some genuinely scalable public-facing services and also help develop and position a growing team of design professionals across specialisms.

Does this sound like you?

What We Love to See
A Design Lead for Public-Facing Services needs to offer a broad range of skills and experience, if you can offer some or all of these, we’d love you to apply:
• Proven experience as a senior design leader and manager
• Ability to collaboratively plan and oversee work in a range of design disiplines
• An extensive understanding of design techniques in a digital context for new and existing products
• Track record in establishing processes for valuable and reusable design assets from active design work
• Experienced in collaborating with multi-disciplinary digital teams including product managers and technical leads
• Demonstrate honesty, integrity, care and compassion when dealing with others, utilising tact and persuasion skills when necessary
• Ability to work on own initiative, to organise and prioritise workload and to meet strict deadlines.

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 remote working
• Generous NHS pension scheme
• Annual incremental 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 design leadership role right now. You may be returning from a career break (e.g. maternity, paternity, caring for others) or returning to user research 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 rohan.gunatillake@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 between 17th – 20th December 2024. The presentation topic will be sent to candidates selected for interview.
For further information please refer to the Job Information Pack below.
Unless otherwise stated the deadline for applications is 23:59 hours on the closing date. Please note, CVs will not be accepted.

Proud member of the Disability Confident employer scheme

Grade UE07: £40,247.00 - £47,874.00 per annum

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.

Grade UE07: £40,247.00 - £47,874.00 per annum

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 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 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 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.

Grade UE07: £40,247 - £47,874 per annum, pro-rata for part-time

CSE/Institute for Astronomy

Full-time: 35 hours per week, we are open to considering part-time or flexible working patterns

Fixed-term: for 3 years, start date: flexible, ideally between 1st March 2025 and 1st October 2025





The Opportunity:

The goal of the position is to advance our understanding of galaxy evolution, focusing on massive galaxies and chemical abundances in the high-redshift Universe. The successful candidate will work together with Dr. Carnall and his research group (currently 1 other postdoc and 1 PhD student) on a variety of projects in this area, depending on their research experience and interests. They will have the opportunity to work with data from the JWST Cycle 2 NIRSpec program EXCELS (ID: 3543; PI Dr. Carnall; co-PI Dr. Cullen) and the upcoming 200-night MOONS guaranteed time spectroscopic survey, MOONRISE. They will also be encouraged and supported to lead further independent research projects. The group is funded via a UKRI Frontier Research Grant (UK replacement funding for the ERC starting grant) and the successful candidate will be encouraged to collaborate closely with other group members, as well as travelling widely to promote their research.



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

PhD (or near completion) in Astronomy or related subject.
Relevant research experience in galaxy evolution.
Record of high-quality lead-author and co-authored refereed journal publications (relative to career stage).
Capable of working independently, exercising a high degree of initiative, and with the ability to think creatively.
Good timekeeping and time-management, with effective prioritisation of tasks.
Ability to communicate complex information clearly, both orally and in writing.
Desirable: Experience of working with rest-frame UV/optical spectroscopy and/or with large, multi-wavelength galaxy datasets, and advanced data analysis techniques.




Application Information



Please, ensure you include the following documents in your application:

CV

A research proposal (2 pages) and the names of two referees. These will only be contacted after a first-stage consideration of your application in the event you are invited to interview.