Total 79 job vacancies by University of Edinburgh

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

CMVM/Edinburgh Medical School/Deanery of Biomedical Sciences/Centre Discovery Brain Sciences

Full-time: 35 hours per week

Fixed-term: for 2 years



The Opportunity:

To contribute to the programme of world-leading research in the Simons Initiative for the Developing brain, bringing skills to complement those of the researchers to design and manufacture tools for use in research.

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

The salary for this post is £40,247 to £47,874 per annum.



Your skills and attributes for success:

Degree in Mechatronics, Mechanical, Electrical/Electronics/Engineering, or a related field.
Familiarity with system integration and testing procedures.
Python programming skills with experience of embedded systems.
CAD/CAM skills for mechanical and electronic design.



Application Information

Please ensure you include the following documents in your application:

- CV

- 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 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.

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.

Lecturer/Senior Lecturer in Small Animal Emergency and Critical Care
MVM / R(D)SVS / Hospital for Small Animals
UE08/UE09 starting salary of £49,250 per annum
Full time: 35 hours per week – OOH included
Fixed term: for 16 months from March 2025

The Opportunity:

The Royal (Dick) School of Veterinary Studies is seeking a Lecturer/Senior Lecturer in Small Animal Emergency and Critical Care (ECC) based within the Hospital for Small Animals on Easter Bush Campus, just outside Edinburgh. The successful applicant will join our established ECC team, and will share supervision of our combined emergency receiving and ICU services within our well-equipped multidisciplinary teaching hospital.

Responsibilities will include clinical, teaching and research with a clinical focus. An important aspect of the role is participation in the delivery and assessment of the BVM&S undergraduate teaching programme. The R(D)SVS also has a strong tradition of research, with excellent collaborative links both on campus and within the wider university providing many exciting opportunities for both clinical and basic science research.

Your skills and attributes for success:

A degree in veterinary medicine and, at the time of appointment, be registered with the Royal College of Veterinary Surgeons.
Applicants with either an ACVECC or ECVECC diploma are preferred, but those who have recently completed an approved residency and are board eligible in Emergency and Critical Care will also be considered (for Lecturer).
Experience in teaching and clinical research

Grade UE05: £28,879 to £33,232 per annum
Edinburgh College of Art / CAHSS
Full time: 35 hours per week
Open ended: Permanent

The Opportunity:

Edinburgh College of Art (ECA) is seeking two experienced administrators to work as part of the Postgraduate Research Team within Student and Academic Support Services (SASS) – one role being on a permanent basis and the other on a 12-month fixed term contract.

Underpinning a great student and staff experience, the Senior Postgraduate Research Administrator(s) will contribute through a range of essential administrative tasks and processes, the administration of ECA’s postgraduate research programmes, including managing applications to study, arranging assessment, and supporting scholarship work. These roles are also key in supporting academic colleagues who have responsibility for research student supervision and training.

One post is on an open-ended basis, with the other being on a fixed term for 12 months to allow for support as the team restructures. We are seeking those who combine great administrative skills including attention to detail and ability to juggle competing demands, with a genuine interest in contributing to the development of our team as review and adapt the ways in which we work.

We are happy to consider secondments from elsewhere in the University.

Your skills and attributes for success:

Strong administrative skills
Good IT literacy and experience
Good organisational skills and problem solving
Excellent interpersonal and communication skills, aligned with a friendly and helpful manner
Ability to work as a team member and motivate colleagues

Grade UE07: £40,247 to £47,874 per annum
School of Chemistry / IRR
Full time: 35 hours per week
Fixed Term: for 12 months (Start date Feb 2025)

The School of Chemistry is seeking a talented scientist to work in the novel and exciting field of super-resolution microscopy to characterise synaptic proteins at the nanoscale.

A successful candidate is likely to have experience with either advanced microscopy methods. Experience with single-molecule fluorescence techniques, programming (ImageJ, python, MATLAB, etc.) would be advantageous. The candidate should have an excellent academic track record commensurate with their career stage and experience.

The Opportunity:

Working with Professors Mathew Horrocks and Seth Grant, you will build on our previously published groundwork on imaging synaptic proteins in the brain. You’ll be based in the Edinburgh Single-Molecule Biophysics Group in the newly built Chemistry Hub in the Institute for Regeneration and Repair, and also work with international collaborators. The combination of academic supervision with milestone-driven research will provide you with the guidance and knowledge you need to develop your career. This is an exciting opportunity to make a real difference to the future of medical science.

Your skills and attributes for success:

Experience with advanced microscopy methods.
Immunohistochemistry experience.
Experience with programming (ImageJ, python, MATLAB, etc.) would be advantageous

Grade UE07: £40,247 to £47,874 per annum
College of Science and Engineering / School of Biological Sciences / Institute of Molecular Plant Sciences
Full time contract: 35 hours per week
Fixed Term: for 24 months


We are looking for a Postdoctoral Research Associate in alga synthetic biology to develop systems for precise nuclear regulation of the plastome.

The Opportunity:

A Postdoctoral Research Associate position in alga synthetic/engineering biology is available in the laboratory of Dr Attila Molnar at the School of Biological Sciences, University of Edinburgh. We are seeking a highly motivated researcher to take a lead role in contributing to the development of systems for precise nuclear regulation of the plastome in the green alga Chlamydomonas reinhardtii. This is a collaborative project funded by the Biotechnology and Biological Sciences Research Council (BBSRC) involving University College London, University of Cambridge, MRC Laboratory of Molecular Biology and the University of Edinburgh.

The position is available for a fixed term of two years. For further information please contact Dr Attila Molnar (email: attila.molnar@ed.ac.uk).

Your skills and attributes for success:

PhD in an appropriate and relevant subject.
Track record of internationally competitive molecular biology research in microbiology/plants/algae.
Evidence of intellectual independence and creativity, and high level of organisation and high-quality record keeping.
Good team-working, collaborative and interpersonal skills.
Excellent communication skills, including the ability to communicate effectively both orally and in writing with colleagues and collaborators.