Total 118 Science / R&D / Research job vacancies in Edinburgh, EH6 4RT

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

Job Description

Children, Education and Justice Services

Teacher of Mathematics
Portobello High School

Salary: £33,594 - £50,589 (pro-rata for part time)
Hours: Various, as below:

position 1 - 14 hours per week
position 2 - 21 hours per week

Portobello High School is a six year comprehensive based in the East of Edinburgh with a school roll of over 1400 young people, drawn mainly from five associate primary schools – Brunstane, Duddingston, Parsons Green, Royal High and Towerbank.

The school was rebuilt in 2016 and enjoys a very high standard of accommodation. The facilities are used extensively by the community and there is an excellent extra-curricular programme within the school, offering an extensive array of wider achievement opportunities, especially within the arts and sports. The school also has positive links with parents and is committed to building up partnerships with local businesses and the community.

The values of Portobello High School are rooted in the collective vision of ‘Achieving Together’, to support every young person to achieve and attain at their very best. A strong sense of community sits at the heart of the school, where everyone belongs and are valued, where learning and opportunities are prioritised to develop a sense of confidence for all young people.

The school’s improvement themes are aligned to CEC and national priorities. We are firmly committed to raising attainment and achievement, improving school attendance and with a focus on learning, teaching and assessment skills.

These part-time posts represent a great opportunity for the right persons to join a large staff team and work in a truly comprehensive setting. The successful candidates will join an enthusiastic team in a forward thinking and committed department which enjoys good uptake in the senior phase. The department is well resourced and accommodated, offering all SQA Mathematics courses from National 4 to Advanced Higher and also presenting learners for Applications of Mathematics. We pride ourselves in having strong relationships with our young people and put their achievement and wellbeing at the heart of all we do. We are driven by a commitment to provide an inclusive curriculum that meets the needs of all learners and reflects their diversity.

For further information about the post please contact Greg McDowall, Headteacher Tel. No. 0131 669 2324 or email admin@portobello.edin.sch.uk

Salaries will be in accordance with the Scheme of Salaries and Conditions of Service for Teaching Staff in School Education.

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.

Follow us on Twitter at @edincounciljobs

Proud member of the Disability Confident employer scheme

Job Description

Children, Education and Justice Services

Science Technician
Broughton High School

Salary: £28,046 - £32,010 (pro-rata for part time and sessional)
Hours: 27.5 per week, 39 weeks sessional

Monday – Thursday 08:30 – 15:30 (1 hour unpaid each day)
Friday – 08:30 – 12:15 (15 minutes unpaid break)

We are looking for an enthusiastic and organised person to join our busy Science Faculty.

The role will involve:

• Preparing materials, equipment and science areas for use by teachers and students.
• Assisting in demonstrating the use of equipment and apparatus
• Designing and constructing equipment and apparatus for use in experiments.
• Maintaining an adequate range of stock and efficient stock levels. This includes maintenance of a stores system and completion of purchase orders for final approval by the Principal Teacher in line with Council Purchasing procedures.
• The postholder will also ensure that the stores are well organised and hazardous substances are labelled and kept in a safe place.
• Ensuring that materials and equipment are maintained in good order and in a safe condition.
• Ensuring that the preparation rooms, fume cupboards and laboratories are kept in a safe and tidy condition. Where applicable, may supervise Technician(s) and Learning Assistants within the Science Department and utilise the requisition system.
• Monitoring stock levels, reordering and issuing work sheets as required.
• Assisting the teaching staff in the support work necessary to prepare and operate TAPS/Standard Grade laboratories and computer aided teaching methods within the science area.
• Undertaking relevant administrative duties i.e. statistical returns, diaries, equipment lists and inventories etc.
• The post holder will undertake any other relevant duties, as required by the Principal Teacher, Business Manager or Headteacher.

Good working knowledge of IT systems both hardware and software is desirable.

Candidates may be asked to provide basic first aid. A suitable qualification in first aid or experience in this area along with a willingness to undertake any necessary training is desirable.

If you feel you would enjoy this rewarding role we would love to hear from you.      

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.

Requirements

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

Join us as an Enterprise Architect Lead, Data Science & AI

• Join a team that is shaping the future of the bank’s data science and AI architecture and governance and help us unlock the full potential of our data
• You'll be defining the intentional architecture for your assigned scope in order to ensure that the current architecture being delivered by engineers best supports the enterprise and its long term strategy
• With valuable exposure, you’ll be building and leveraging relationships with colleagues across the bank to ensure commercially focused decisions and to create long term value for the bank

What you'll do

We’re embarking on a new and exciting phase of the bank’s transformation agenda, data science and AI architecture play a crucial role in achieving our mission to simplify, reduce risk and enable customer engagement and personalisation. Supporting the development of architectures and roadmaps of innovative data solutions, leveraging data science and AI, is critical to driving simplification, improving data efficiency, and ensuring data risk stays within tolerance.

In this key role, you’ll be defining and communicating the current, resultant and target state architecture for your enterprise solutions using data science & AI. You’ll also be making sure that the architecture links to, and is informed by, our overall strategy and architecture, and produces the architecture outcomes.

We’ll look to you to influence the development of business strategies at an organisational level, identifying transformational opportunities for our businesses and technology areas associated with both new and existing technologies. You’ll manage and mentor a team of specialist and senior data architects dedicated to supporting architectures for solutions using data science and AI fostering a collaborative, high performance culture that encourages innovation.

As well as this, you’ll:

• Translate architecture roadmaps into packages of work that allow frequent incremental delivery of value to be included in product backlog
• Define, create and maintain architecture models, roadmaps, standards and outcomes, using architecture strategies to ensure alignment to adjacent and higher level model
• Work closely with business owners, portfolio managers, product managers and release managers to define the target intentional architecture
• Lead complex and technically challenging architectural transformations, coordinating design and platform teams across domains
• Stay abreast of the commercial and emerging data technology offerings that may influence current and target Data Science and AI architectures and their governance
• Seek out and utilise continuous feedback, fostering adaptive design and engineering practices to drive the collaboration of programmes and teams around a common technical vision

The skills you'll need

We’re looking for someone with a background in defining business and application architectures and roadmaps for data science and AI based solutions. You’ll bring expert knowledge of enterprise data architecture, solution data architecture, architecture for data science and AI with knowledge of industry architecture frameworks such as TOGAF or ArchiMate.

In addition, you’ll be a thought leader of architecture for data science and AI solutions and enterprise design in the bank influencing business and technology teams. You’ll have excellent communication skills with the ability to clearly communicate complex technical concepts to colleagues up to senior leadership level, along with a good understanding of Agile methodologies with experience of working in an Agile team.

You’ll also have:

• Experience of developing, syndicating and communicating architectures, designs and proposals for action
• Experience of working with business solution vendors, technology vendors and products within the market
• Experience as an enterprise architect with focus on architecture advisory along with experience in AI or ML and Data Science solutions and patterns
• Experience with developing, data exploration, visualisation and statistical analysis technologies
• Experience with developing, data exploration, visualisation and statistical analysis technologies
• An understanding of neural networking, deep learning and LLM architectures
• Knowledge of Data Science lifecycle, MLOps, model management and automation
• Knowledge of data, architecture frameworks such as DAMA and DCAM as well as data related regulations such as GDPR, CCPA,PCI DSS and BCBS 239
• Architecture knowledge of Tableau, AWS data stack, SageMaker, Python, EMR or Spark, Kafka and Snowflake

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.

Job Description

Children, Education and Justice Services

Teacher of Computing Science - fixed term until 04/04/2025
Broughton High School

Salary: £33,594 - £50,589
Hours: 35 per week

We are looking for an inspirational and passionate teacher of Computing Science to join the highly experienced team within our Technologies Faculty.

Broughton High School is a popular, comprehensive school with high aspirations for its very diverse population. As a valued member of our staff, you will have enthusiasm and the ability to plan flexible programmes of learning within your subject area which meet the specific needs of all learners. You should be confident, have a passion for Computing Science and be able to demonstrate that you are an innovative practitioner.

Desired qualities

• Understanding of the curriculum and an interest in developing Computing Science in areas such as Games Design and Cyber Security
• Interest in and concern for others (staff and students)
• Good understanding of self and interpersonal relationships
• Imagination and creativity
• Energy and a positive attitude
• Cheerful with a sense of humour

Suitably qualified tertiary lecturers with GTCS registration are welcome to apply.

Salaries will be in accordance with the Scheme of Salaries and Conditions of Service for Teaching Staff in School Education.

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.

Follow us on Twitter at @edincounciljobs

Proud member of the Disability Confident employer scheme

Job Description

Children, Education and Justice Services

Teacher of Science/Physics – fixed term until 04/04/2025
Broughton High School

Salary: £33,594 - £50,589
Hours: 35 per week

We are looking for an inspirational and passionate teacher of science to join the highly experienced team within our science faculty. We would particularly welcome applications from Teachers with experience and/or the ability to deliver Physics lessons at N5, but this is not essential.

Broughton High School is a popular, comprehensive school with high aspirations for its very diverse population. As a valued member of our staff, you will have enthusiasm and the ability to plan flexible programmes of learning within your subject area which meet the specific needs of all learners. You should be confident, have a passion for Science and be able to demonstrate that you are a supportive team player.

Desired qualities

• Experience of delivering Physics lessons at N4, N5 and Higher levels.
• Interest in and concern for others (staff and students)
• Good understanding of self and interpersonal relationships
• Imagination and creativity
• Energy and a positive attitude
• Cheerful with a sense of humour

Salaries will be in accordance with the Scheme of Salaries and Conditions of Service for Teaching Staff in School Education.

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.

Follow us on Twitter at @edincounciljobs

Proud member of the Disability Confident employer scheme

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.