Total 117 Science / R&D / Research job vacancies in Edinburgh, Edinburgh, EH2 3AH

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

School of Engineering / College of Science & Engineering

Contract type, Hours per week: 35 hours per week

Fixed Term dates: Until October 2025.

Number of posts: 2

We are looking for an experienced fire science/engineering experimental researcher to assist in the delivery of a fixed term research project on the fire safety of external wall construction.

The Opportunity:

This is a fantastic opportunity to work on a highly topical research area as part of a group that has a strong track record of working on the fire safety challenges associated with composite materials. The project involves large (1 m) scale testing of composite material system subjected to fire conditions. This requires design of a testing apparatus and development of tools to support the tests, and the interpretation of test outcomes. The successful candidates will become part of the Edinburgh Fire Research Centre at the University of Edinburgh. The successful candidate will work primarily with Prof. Rory Hadden and the external partner, Dstl, to deliver this exciting research programme.

Your skills and attributes for success:

Experience working independently in the lab including problem solving and iterative design (Desirable).
Experience of working with composite materials, material flammability and/or thermomechanics (Desirable).
Ability to collate and communicate large amounts of experimental data.
Ability to clearly communicate both verbally and in writing.
Interesting in working in a team and helping other researchers with challenges.

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

College of Science & Engineering / School of Mathematics.

Fixed Term Contract - 36 months.

Full Time - 35 Hours Per Week.

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

The Opportunity:

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

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

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

Relevant reading:

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

Your skills and attributes for success:

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

Grade UE08: £48,350 - £59,421

College of Science & Engineering / School of Engineering

Institute/Discipline: Integrated Micro and Nano Systems

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

Fixed term for up to 5 years

The Opportunity:

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

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

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

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

Your skills and attributes for success:

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

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

School of Engineering, College of Science & Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Full-time 35 hours per week

Fixed term for up to 5 years



The Opportunity:

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

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

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

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

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

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



Your skills and attributes for success:

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

UE08, £48.350 - £59,421

School of Engineering, College of Science & Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Full-time 35 hours per week

Fixed term for up to 5 years

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

The Opportunity:

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

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

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

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

Your skills and attributes for success:

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

School of Engineering, College of Science & Engineering

Institute/Discipline: Institute for Integrated Micro and Nano Systems

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

Contract type - Fixed term for 24 months,

Full Time - 35 hours Per Week

Number of posts: 1



The Opportunity:

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



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



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



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

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



Your skills and attributes for success:

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

Job Description

Children, Education and Justice Services

Senior Science Technician
The Royal High School

Salary: £30,751 - £36,312 (pro-rata for sessional)
Hours: 36 per week, 40 weeks sessional

Based in the West of Edinburgh, The Royal High School is one of the oldest schools in Scotland. It has a strong sense of history, but prides itself on being very much a school of the 21st Century. It is a non-denominational, 6-year comprehensive, with pupils drawn from 4 catchment primary schools: Blackhall, Clermiston, Cramond and Davidson’s Mains. A significant number of placing requests are received each session. Year groups are capped at 220 and the school roll sits around 1260.

The Senior Leadership Team (SLT) comprises the Rector, four Depute Rectors and the Business Manager.
The current teaching staff complement is 88 FTE with 20 FTE staff other than teachers, including a team of Pupil Support Assistants, who support the integration of pupils. There is an integrated Additional Support for Learning Team combining the former Guidance and Support for Learning teams. In line with the Authority’s integration policies, the school caters for a wide variety of physical, sensory and learning needs. This has been highly successful and forms a key element of our social inclusion strategy.

The school was refurbished in 2004 and enjoys a high standard of accommodation, although social areas are limited and teaching space has to be rigorously timetabled. The facilities are used extensively outside of normal school hours by the school, the RHS Club and the community; the school is designated a Community Sports Hub and the PE facilities were refurbished in 2015 to support this. There is an excellent extra-curricular programme, with partner clubs and staff offering a range of opportunities in which young people can participate. ICT facilities are very good and S3-6 pupils all have access to a 1:1 iPad device to support their learning at home and in school.

The school has positive links with parents, local businesses and the local community. The Parent Council and School Fundraising Group play an important role in the life and work of the school. Meetings are well attended and discussions are always lively and informative. The school is also supported by an active Former Pupils’ Club.

The Royal High School Vision and Values
“The Royal High School supports every young person to achieve and attain their very best. We respect individuality and celebrate diversity. We provide opportunities for success through a variety of curricular and extra-curricular options and pathways. We encourage creativity and support our young people to build the skills and resilience they need for the future. We have the courage to aspire to be the very best we can be. We belong to our school and we are very proud of our tradition and heritage.”

For more information about the school, please visit the website https://royalhigh.wordpress.com/ or call 0131 336 2261.

This post is regulated work with children and/or protected adults under the Protection of Vulnerable Groups (Scotland) Act 2007. The preferred candidate will be required to join the PVG Scheme or undergo a PVG Scheme update check. Where an individual has spent a continuous period of 3 months or more out with the UK in the last 5 years, an Overseas Criminal Record Check will be required. You will be required to provide this check. An unconditional offer of employment and commencement in the post will be subject to the outcome of both these pre-employment checks being deemed satisfactory.

Requirements

We're committed to creating a workplace culture where all our people feel valued, included and able to be their best at work, and we recognise the benefits that a diverse workforce with different values, beliefs, experience, and backgrounds brings to us as an organisation.

As part of our goal to improve our organisational culture and create a great place to work together for the people of Edinburgh, we want to make sure that we’re bringing the best people into our roles, not just in their skills and experience but also in their approach to work.

To help achieve this, we’re changing the way we interview and assess candidates by moving from a competency-based interview approach to a behavioural and technical (skills for the job) based approach. This new way of interviewing will allow us to assess how you think and how you would bring Our Behaviours of Respect, Integrity and Flexibility into your ways of working.

You can find out more on Our Behaviours web page Our Behaviours – The City of Edinburgh Council

Our salary range typically reflects the initial starting salary and annually increases until it reaches the top of the range.

Follow us on Twitter at @edincounciljobs

Proud member of the Disability Confident employer scheme

Job Description

CF Children, Education and Justice Services

Science Technician
Tynecastle High School

Salary: £26,788 - £30,751 (pro-rata for part time and sessional)
Hours: 21.75 per week, 40 weeks sessional

Tynecastle High School is a six-year comprehensive secondary school which has served west-central Edinburgh with distinction for over 100 years. The school moved to a fantastic new site in January 2010 and has first class educational facilities. The school is thoroughly rooted in its local communities, with learners drawn from Craiglockhart, Dalry, Stenhouse and Balgreen Primary Schools. The school roll is currently around 850. The school offers a wide range of subjects and successfully presents students for SQA exams at all levels. There is a strong sense of pride in the school demonstrated by students, staff and parents.

A bank of strategies supports the successful integration of pupils with wide range of needs and abilities in the school and the curriculum. As well as a strong record in supporting young people into the world of work, the school has, over many years, successfully supported significant numbers of high attaining students into a wide range of courses at Universities across the UK. Staff know their students well and a high priority is set by all staff pastoral care and on ensuring pupils’ welfare. The atmosphere is welcoming and warm with respectful relationships underpinning purposeful learning. The Science curricular area consists of a curricular leader, nine members of staff.

For further information please visit our website at www.tynecastle.edin.sch.uk or to discuss the post please contact Ms Hazel Kinnear, Head Teacher, on 0131 337 3488.

This post is regulated work with children and/or protected adults under the Protection of Vulnerable Groups (Scotland) Act 2007. The preferred candidate will be required to join the PVG Scheme or undergo a PVG Scheme update check. Where an individual has spent a continuous period of 3 months or more out with the UK in the last 5 years, an Overseas Criminal Record Check will be required. You will be required to provide this check. An unconditional offer of employment and commencement in the post will be subject to the outcome of both these pre-employment checks being deemed satisfactory.

We're committed to creating a workplace culture where all our people feel valued, included and able to be their best at work, and we recognise the benefits that a diverse workforce with different values, beliefs, experience, and backgrounds brings to us as an organisation.

As part of our goal to improve our organisational culture and create a great place to work together for the people of Edinburgh, we want to make sure that we’re bringing the best people into our roles, not just in their skills and experience but also in their approach to work.

To help achieve this, we’re changing the way we interview and assess candidates by moving from a competency-based interview approach to a behavioural and technical (skills for the job) based approach. This new way of interviewing will allow us to assess how you think and how you would bring Our Behaviours of Respect, Integrity and Flexibility into your ways of working.

You can find out more on Our Behaviours web page Our Behaviours – The City of Edinburgh Council

Our salary range typically reflects the initial starting salary and annually increases until it reaches the top of the range.

Follow us on Twitter at @edincounciljobs

Proud member of the Disability Confident employer scheme

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

CMVM / Edinburgh Research Centre.

Open Ended Contract - Permanent.

Full Time - 35 Hours Per Week.

The Opportunity:

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

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

Your skills and attributes for success:

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

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

CMVM / MGPHS / USHER Institute.

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

Full Time - 35 hours per week.

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

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

The Opportunity:

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

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

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

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

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

School of Engineering, College of Science & Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Full-time 35 hours per week

Fixed term for up to 5 years



The Opportunity:

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

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

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

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

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

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



Your skills and attributes for success:

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

UE08, £48.350 - £59,421

School of Engineering, College of Science & Engineering

Institute/Discipline: Integrated Micro and Nano Systems

Full-time 35 hours per week

Fixed term for up to 5 years

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

The Opportunity:

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

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

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

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

Your skills and attributes for success:

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

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

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

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

The Opportunity:

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

Your skills and attributes for success:

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

Clinical grade AMN2: £43,504.00 - £64,461.00 per annum
CMVM/Edinburgh Cancer Centre
Full-time: 40 hours per week
Fixed-term: for 3.5 years


The Opportunity:

Edinburgh Cancer Centre is seeking a motivated Clinical Research Fellow with experience at Specialty Trainee level in Oncology. This prestigious position is an exceptional opportunity for an aspiring researcher to embark on an original research project leading to a PhD as part of a European research programme in digital patient-centred care.

This post is full-time clinical post (40 hours per week).

Your skills and attributes for success:

Enthusiasm for patient-centred care
An appetite for data-driven health research and digital innovation
Specialty Training in Oncology
Research Project: The successful candidate will engage in an innovative research project tailored towards digital health solutions in cancer care. The specific focus of the project will be mutually defined post-interview, aligning with the strategic priorities of the Edinburgh Cancer Informatics research group and the MyPath Horizon Europe programme [http:/mypath-cancercare.eu]. Key research areas may include digital health, epidemiology, health technology assessment, health economics, quality improvement, real world data, and informatics.

Clinical Implementation: The role involves supporting a critical implementation study evaluating the MyPath digital solution for the use case of metastatic breast cancer management, in collaboration with a pan-European team of health researchers, co-led from Oslo University Hospital and the University of Edinburgh.

Clinical Exposure: The fellow will gain practical experience by working in a breast cancer oncology outpatient clinic once a week, supporting the implementation study as well as contributing directly to patient care and clinical research integration.

What We Offer: The Clinical Fellow will join a world-class research environment at one of the leading cancer research centers. They will benefit from direct mentorship and guidance from an expert supervisory team in Oncology, Clinical Research and Palliative Care. There will be broad opportunities for professional development and acquiring specialized skills through various postgraduate educational programmes at the University of Edinburgh’s Usher Institute and Institute of Genetics and Cancer.

UE07 £39,347-£46,974 per annum
CSE / School of Geosciences
Fixed term 36 months
Full time 35 hours per week

The Opportunity:

Develop ecological understanding of viruses of methane cycling prokaryotes in peatlands. This is to be achieved using metagenomics, viromics, methane flux analysis and population dynamics modelling in collaboration with a large international team funded by Human Frontier Science Program.

This post is fixed term (36 months) and full-time (35 hours per week), however, we are open to considering 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 PhD or equivalent experience in microbial ecology, microbiology, bioinformatics, computational biology

Knowledge of microbial community ecology and interactions and an up-to-date understanding of the science of the biogeochemical cycling of elements and microbial controls
A high standard of programming skills relevant to microbial sequencing data analysis and ability to effectively manage and process large data sets
Good organisational skills and ability to work independently under appropriate supervision to a high academic standard, in addition to team-working
Ability to communicate complex information clearly, orally and in writing