Total 18 job vacancies by University of Edinburgh

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

College of Arts, Humanities & Social Science / School of Economics / Academic Staff

Full-time: 35 hours per week

Fixed-term: for 2 years and 6 months






The School of Economics is growing and is seeking to appoint a Post-Doctoral Researcher in Economic Theory and Theoretical Industrial Organization to undertake high quality research, teaching, and knowledge exchange related to these fields. The post comes with a time allocation of 30% teaching and 70% research, knowledge exchange and impact.



Successful candidates will have a strong commitment to producing internationally excellent research and delivering high quality teaching that contributes to the development of our undergraduate and postgraduate programmes and the learning experience of our students. Applicants should have, or be close to completing, a PhD in economics or related field, and have demonstrable potential to publish their research in leading refereed journals, to contribute to knowledge exchange activities and to secure research income.



Informal enquiries may be made to Dr Paweł Gola, Associate Professor of Economics: Pawel.Gola@ed.ac.uk





Your skills and attributes for success:



Have a PhD in Economics or be within 6 months of completion of a PhD at the start of the post in March 2025.
Be available to commence employment with in-person teaching in March 2025.
Must be able to demonstrate an existing or developing record of research with potential for publication in leading peer-reviewed journals in economics.
Must be able to demonstrate the ability to make an outstanding contribution to the research activities and intellectual life of the School of Economics.
Have an interest in teaching courses related to Industrial Organization.
Have excellent oral and written communication skills.
The School is looking for applicants with expertise in Theoretical Industrial Organization and Economic Theory more generally.


Please note that the University of Edinburgh defines completion of a PhD as the submission of the corrected thesis following the candidate’s viva examination, or when the candidate receives confirmation that there are no corrections to address.



Interviews will be online and take place in December or early January. As part of this interview the candidates will be asked to give a job talk online. As the job starts in March, offers will be made soon after the interviews; for the same reason, any offers made will expire well before the overall market is over.

Grade UE03: £23,114 to £25,148 per annum + 5% premium band for flexible working

Accommodation, Catering and Events/Business Development

Full-time: 35 hours per week

Open-ended: permanent



The Opportunity:

This is a fantastic opportunity for an experienced and passionate individual to join Hotels Collection as Housekeeping Supervisor reporting to the Assistant Housekeeping Manager and Housekeeping Manager. The successful candidate will cover our 4 unique properties where you will be based (The Scholar Hotel, The Scott Hotel, KM Hotel & Apartments).

In this challenging and varied role, you will supervise a team of housekeepers on their day-to day tasks; carry out room checks and ensure our highest cleaning standards are achieved.

We are looking for a Housekeeping Supervisor who is passionate about providing impeccable cleanliness standards; enjoys working with people and is driven to achieve results. In this role you will:

Regularly carry out bedroom and public area inspections to ensure a high-quality service in all hotels.
Supervise a team of up to 40 housekeepers.
Ensure that all Health & safety requirements are met to ensure a safe environment is provided and all our legal obligations met.
Report faults and maintenance issue to ensure we maximise our bedroom availability.
To succeed in this busy role, you will need strong communication skills, superb problem-solving abilities and immaculate attention to detail. You will have a background in a hospitality setting and a real desire to achieve success.

Grade UE07: £40,247 to £47,874 per annum
School of GeoSciences / CSE
Full time: 35 hours per week
Open ended: permanent

The Opportunity:

The School of GeoSciences is seeking a Communications Manager to join the Marketing, Recruitment and Communications team. This is a leading role within the School for the promotion of our research expertise and related activities to external audiences.

The role offers breadth, both in the discipline of the School, with research areas spanning the social sciences, humanities, and sciences, but also in the variety of projects.

The post holder will have responsibility for the design and implementation of the School’s research communications strategy, as well as supporting communications associated with knowledge exchange, impact and the School’s work with external organisations. As the key communications contact, the post holder will proactively engage with, advise and support both internal and external stakeholders.

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.

Informal enquiries may be directed to Grace Sansom, Head of Marketing, Recruitment and Communications (grace.sansom@ed.ac.uk).

Your skills and attributes for success:

The ability to communicate complex technical issues for non-specialist audiences across a range of media types
Experience of developing digital communications, and assessing and reporting on the impact of activity
Excellent interpersonal and networking skills, developing and maintaining effective working relationships with, and gain trust of, colleagues
Strong verbal communication and presentation skills, with a range of audiences
Background in communications at a strategic and operational level
Effective project management skills
To support your application, please provide a CV and cover letter.

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.

Grade UE06: £33,882 to £39,105 per annum
School of Informatics / CSE
Full time: 35 hours per week
Open ended: permanent

The School of Informatics, University of Edinburgh invites applications for a Computing Infrastructure Officer

The Opportunity:

Are you an enthusiastic IT network specialist looking for an exciting DevOps role? We have an opportunity for you that will involve maintaining and developing the data network, AV infrastructure and data centres for a world-leading teaching and research centre in informatics, located in the heart of Edinburgh.

This post is advertised as 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. The team currently operates a 50%, i.e. 2.5 days, on-campus working arrangement which has been agreed by the line manager.

Your skills and attributes for success:

Essential knowledge and experience

The school relies heavily on automation so the ability to write clean, readable, and easily maintainable code is essential
Good working knowledge of a scripting language (eg Python / Perl)
Good working knowledge of networking (eg. dns, routing, firewalls)
Good working knowledge of Linux
Strong analytical and problem-solving skills
Effective communication skills, both oral and written, with the ability to convey information in a clear, concise manner
Proven ability to plan and prioritise a busy and demanding workload
Proven ability to work productively as part of a team and build effective relationships with colleagues at all levels
Active interest in continuing professional development
Desirable knowledge and experience

Good working knowledge of AV equipment, including matrix switches, programmable control panels
Working knowledge of software development tools and practices (eg git / svn)

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 UE04: £25,433 - £28,081 per annum

ISG/Library and University Collections

Full-time: 35 hours per week

Open-ended: permanent, based fully on campus



The Opportunity:


This is an exciting opportunity to join a dynamic team managing print General Collections Main Library, site libraries and University Collections Facility. Primarily based in the Main Library, you will be involved in the review and rationalisation of collections, requiring frequent visits to site libraries across the city. You will also support the wider Collections Services Team in its delivery of essential library services and undertake collaborative project work with a range of stakeholders.



Your skills and attributes for success:

Previous experience of working in a library with experience of Library collections management practices and a good knowledge library management systems.
Good IT skills, including experience of MS Office.
Good communication and organisational skills, and able to work independently as well as part of a team.
A flexible approach with the ability to deal with problems as they arise.

Grade UE4: £25,433 to £28,081 per annum, pro-rata if part-time

USG/Leaps

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

Fixed-term: until 30th June, 2025, due to funding





LEAPS is a successful and unique widening participation programme, funded by its higher education and local council partners as well as the Scottish Funding Council to increase progression to higher education in South East Scotland. LEAPS is also supported by Skills Development Scotland (SDS) and delivers the Scottish Funding Council’s (SFC) Schools for Higher Education Programme (SHEP) in South East Scotland, as part of the National Schools Programme.



This post is a hybrid role which requires 50% working from home and 50% from the office based at Old Moray House, Edinburgh.



Your skills and attributes for success:

Strong IT skills, fully proficient in the use of Microsoft office suite, including Outlook, Word & Excel
Good interpersonal and communication skills, including confident telephone manner and a high standard of written English.
Ability to work to a high standard under pressure, to plan and to prioritise and meet tight deadlines.
Attention to accuracy and detail.
Use initiative to take responsibility for tasks and demonstrate high levels of commitment and organisational skills.

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.

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.