Total 119 Education / Training job vacancies in Scotland

Grade UE07- £39,347 to £51,283 per annum

College of Science & Engineering / School of Physics and Astronomy / Institute for Particle and Nuclear Physics

Full-time- 35 hours per week

Fixed Term- 24 months with possible extension


We are looking for an enthusiastic and motivated candidate for a Postdoctoral Research Associate in Experimental Nuclear Physics within the Edinburgh Nuclear Physics Group in the School of Physics & Astronomy.

The Opportunity:

The School of Physics and Astronomy is seeking to appoint a strong candidate to a full-time, fixed-term research position within the Edinburgh Nuclear Physics Group.

The appointed PDRA will work in the group of Prof. Marialuisa Aliotta (PI) to conduct research in experimental nuclear astrophysics for the UKRI-funded ERC Advanced Grant “NUCLEAR: NUclear Clustering Effects in Astrophysical Reactions”. The appointed PDRA will support and develop the experimental programme of nuclear reaction studies at surface- and underground facilities. Jointly with the PI, you will supervise PhD students and support the execution of all experimental activities and related data analysis and interpretation. You will also conduct and support R-matrix global fits of experimental data and contribute to the evaluation of astrophysical reaction rates.

The ideal candidate will have a strong background in nuclear astrophysics as well as a good academic track record and leadership potential in the field. In addition, s/he will be expected to co-supervise research students and to contribute to some teaching. The successful candidate is expected to engage in frequent field trips to overseas laboratories, present their work at collaboration meetings as required, and maintain a good collaborative attitude.

The Edinburgh Nuclear Physics Group has an outstanding reputation for scientific leadership and innovative instrumentation in diverse areas of nuclear physics including nuclear astrophysics and properties of exotic nuclei. Our research is performed at world-leading laboratories, using a variety of experimental techniques and state-of-the-art instrumentation developed by the Group.

The School of Physics and Astronomy at the University of Edinburgh is committed to encouraging equality and diversity among our workforce and eliminating discrimination. The School strives to create a more diverse, equitable and inclusive workplace for all, and we are looking to actively diversify our staff. We welcome applications from all qualified candidates and encourage applications from people of colour, women, people with disabilities, LGBTQ+ people and other minority and under-represented groups. We aim to ensure that our culture and systems support flexible and family-friendly working, as evidenced by our Juno Champion and Athena SWAN Silver awards.

The level of appointment for the PDRA post will be determined by the selection panel depending on the experience of the successful candidate.

This post is full-time (35 hours per week). However, we are open to considering flexible working patterns or requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

This is a fixed-term post, which will be available as soon as possible after all admin procedures will have been completed.

Your application should include a motivation letter detailing skills and experience relevant for the post, together with a full CV and an up-to-date list of peer-reviewed publications.

For informal enquiries contact Prof. Marialuisa Aliotta (m.aliotta@ed.ac.uk).


Your skills and attributes for success:

-PhD in physics.
-Strong research background and experience in nuclear astrophysics.
-Demonstrated ability to conduct high-quality research.
-Previous supervisory experience at either undergraduate or postgraduate level is welcome, though not necessary.
-Good communication and interpersonal skills, and the ability to work both independently and as a team member.

We have exciting Modern Apprenticeship opportunities available across your local area, enabling you to work in a Nursery, or an Out of School Care setting earning a wage while you gain practical experience with children as young as babies to pre-school age, to allow you to become a qualified Early Years Practitioner.

Are you looking to start a rewarding career in which you shape and inspire young children's future?

Ideally, you should have the ability to read stories, with at least 10 interruptions per page, resemble traits of an octopus with 8 arms and legs to support any little person that needs it at the same time!

Must not be afraid to dance in the rain, make mud pies and jump up and down in muddy puddles!

Possessing the skills required to rapidly count heads of numerous moving small people is of the upmost importance.

Be as quick as a gazelle, when you witness the mischievous look in a little person's eyes.

Finally, you must be prepared to feel loved, special and important to many young children and their families.

Realise the important role you play in lots of special people's lives.

Skills required:
No experience is necessary, however good communication skills and a keen interest in supporting the development of young children are essential. The ability to engage and interact enthusiastically with children is important.

As a Modern Apprentice your key duties will include:
. Be a valued member of a team.
· Following nursery safeguarding procedures to ensure all children are kept safe and secure
· Working closely with parents/carers to deliver an individual learning and development journey for children
· Assisting children with personal care tasks including toileting, dressing, and feeding
· Being flexible and providing help where needed, to include the cleaning of equipment and preparing of snacks

To apply to Carousel Training Centre applicants must be:
• 16-19 years old for an immediate interview.

How to Apply:
Complete an online application form on our website: www.carouseltraining.co.uk

Hours of work and rate of pay:
Hours of work and rate of pay are agreed by the individual employer.
A normal working week in a nursery will be between Monday – Friday, and 35-40 hours per week, however this can vary if you are employed in an Out of School Care Setting.

You will work towards obtaining an industry recognised qualification, which normally takes 12-15 months.

At the end of your qualification, you will be a qualified Early Years Practitioner and have gained a Scottish Vocational Qualification in Social Services (Children and Young People) at SCQF Level 7.

In recognition that disabled people and those who are care experienced can face additional challenges in their career journeys, an Enhanced Funding Contribution is available from Skills Development Scotland for disabled people and/or those who are care experienced and aged 20-29 years, provided certain eligibility criteria is met, If you are unsure whether you will be eligible for funding, please contact us on 0141 332 0030.

Carousel Training Centre is an equal opportunity training provider.

We have exciting Modern Apprenticeship opportunities available across your local area, enabling you to work in a Nursery, or an Out of School Care setting earning a wage while you gain practical experience with children as young as babies to pre-school age, to allow you to become a qualified Early Years Practitioner.

Are you looking to start a rewarding career in which you shape and inspire young children's future?

Ideally, you should have the ability to read stories, with at least 10 interruptions per page, resemble traits of an octopus with 8 arms and legs to support any little person that needs it at the same time!

Must not be afraid to dance in the rain, make mud pies and jump up and down in muddy puddles!

Possessing the skills required to rapidly count heads of numerous moving small people is of the upmost importance.

Be as quick as a gazelle, when you witness the mischievous look in a little person's eyes.

Finally, you must be prepared to feel loved, special and important to many young children and their families.

Realise the important role you play in lots of special people's lives.

Skills required:
No experience is necessary, however good communication skills and a keen interest in supporting the development of young children are essential. The ability to engage and interact enthusiastically with children is important.

As a Modern Apprentice your key duties will include:
. Be a valued member of a team.
· Following nursery safeguarding procedures to ensure all children are kept safe and secure
· Working closely with parents/carers to deliver an individual learning and development journey for children
· Assisting children with personal care tasks including toileting, dressing, and feeding
· Being flexible and providing help where needed, to include the cleaning of equipment and preparing of snacks

To apply to Carousel Training Centre applicants must be:
• 16-19 years old for an immediate interview.

How to Apply:
Complete an online application form on our website: www.carouseltraining.co.uk

Hours of work and rate of pay:
Hours of work and rate of pay are agreed by the individual employer.
A normal working week in a nursery will be between Monday – Friday, and 35-40 hours per week, however this can vary if you are employed in an Out of School Care Setting.

You will work towards obtaining an industry recognised qualification, which normally takes 12-15 months.

At the end of your qualification, you will be a qualified Early Years Practitioner and have gained a Scottish Vocational Qualification in Social Services (Children and Young People) at SCQF Level 7.

In recognition that disabled people and those who are care experienced can face additional challenges in their career journeys, an Enhanced Funding Contribution is available from Skills Development Scotland for disabled people and/or those who are care experienced and aged 20-29 years, provided certain eligibility criteria is met, If you are unsure whether you will be eligible for funding, please contact us on 0141 332 0030.

Carousel Training Centre is an equal opportunity training provider.

Grade UE05- £27,979- £32,332

College of Medicine & Veterinary Medicine- Deanery of Clinical Sciences

Full Time- 35 hours per week

Fixed Term- 24 months


The Opportunity:

We are seeking a research practitioner to recruit to and assist in the running of research studies within The Anne Rowling Clinic.

The post-holder will disseminate clear information about studies, conduct study assessments strictly according to the study protocol, and encourage maximum case ascertainment and retention in studies.

The research practitioner will contribute to a range of ongoing studies, but will focus on a new digital health study called DASH, which uses speech recordings and user-friendly technologies to better understand, diagnose and monitor neurological conditions. Find out more at www.annerowlingclinic.org/dash.

The Anne Rowling Clinic is a unique University/NHS facility, linking the highest quality care with world-class research for chronic neurological conditions including multiple sclerosis, motor neuron disease, Parkinson’s and dementias.

This post is full-time (35 hours per week), and based on site at the Anne Rowling Clinic, Edinburgh BioQuarter, with some travel to other recruitment sites in Scotland.

Informal enquiries should be addressed to Judy Newton, Anne Rowling Clinic Deputy Director, on Judith.Newton@ed.ac.uk.


Your skills and attributes for success:

-Previous care or nursing experience, particularly with chronic neurologically disabled adults
-Previous research experience; clinical research experience is desirable
-Effective interpersonal skills; ability to rapidly build and maintain positive relationships with a wide range of people
-Good organisation, time management skills, and attention to detail
-Experience with clinical databases including NHS systems is an advantage

The Department of Chemical and Process Engineering (CPE) within the Faculty of Engineering is seeking to recruit a Research Associate to carry out theoretical modelling work to explore decarbonisation technologies including biomass valorisation, CO2 conversion, waste plastic recycling, etc. This position is one of the three PDRA positions to be recruited for one UKRI funded project with an overall aim at reshaping a fossil-free feedstock carbon supply to accelerate net-zero.

The position requires in-depth knowledge of large-scale computation, thermodynamic analysis and technical communication thus prior experience in Quantum Mechanics (QM) Density Functional Theory (DFT) modelling, thermodynamic analysis, mechanism and kinetics investigation, and a brief background of waste valorisation is required. The postholder will be responsible on computational modelling of the reaction mechanism and exploration of the thermodynamic and kinetics of the waste valorisation processes, evaluating the role of operating conditions and catalyst performance, predicting the yield of the key products based on the theoretical mechanism and kinetic results. The postholder will work closely with the principal investigator, other Research Associate, and the PhD students, that involved in this project.

As a Research Associate, under the general guidance of a research leader, you will develop research objectives, play a lead role in relation to a specific project/s or part of a broader project, conduct individual and/or collaborative research, contribute to the development of new research methods, and contribute to the securing of funds for research. You will write up research work for publication, individually or in collaboration with colleagues, and disseminate the results via peer reviewed journal publications and presentation at conferences. You will join external networks to share information and ideas, inform the development of research objectives. You will collaborate with colleagues to ensure that research advances and you will collaborate with colleagues on the development of knowledge exchange activities by, for example, participating in initiatives which establish research links with industry and influence public policy and the professions. You will co-supervise student projects, provide advice to students and contribute to teaching as required by, for example, running tutorials. You will contribute in a developing capacity to Department/School, Faculty and/or University administrative and management functions and committees and engage in continuous professional development.

To be considered for the role, you will be educated to a minimum of PhD level in an appropriate discipline, or have significant relevant experience in addition to a relevant degree. You will have sufficient breadth or depth of knowledge in computational modelling, thermodynamic analysis, reaction mechanism exploration, kinetics analysis and a developing ability to conduct individual research work, to disseminate results and to prepare research proposals. You will have an ability to plan and organise your own workload effectively and an ability to work within a team environment. You will have excellent interpersonal and communication skills, with the ability to listen, engage and persuade, and to present complex information in an accessible way to a range of audiences.

Whilst not essential for the role, applications are welcomed from candidates with relevant work experience, membership of relevant Chartered/professional bodies, and/or experience of knowledge exchange related activities.

Informal enquiries about the post can be directed to Dr Xiaolei Zhang, Reader (xiaolei.zhang@strath.ac.uk).

Proud member of the Disability Confident employer scheme

UE06 - £32,982 - £38,205

School of Biological Sciences - Institute of Infection and Immunology Research

Fixed Term – 35 hours per week

October 2024 – September 2026

The Opportunity:

To support a wide range of research activities in the MacDonald laboratory in the field of Cellular Immunology and Immunoparasitology, performing and supporting specific research projects, and being responsible for general laboratory organisation.

We are looking for a Research Technician to provide research assistance and technical support to the MacDonald research team. In addition, the post will be in charge of general lab organisation.

This post is advertised as full-time (35 hours per week).


Your skills and attributes for success:

-Perform and assist with experiments, including flow cytometry of mouse tissues and cells
-Parasite life cycle maintenance (in particular the helminth Schistosoma mansoni)
-Mouse colony organisation and genotyping
-General lab organisation, including orders, health and safety records and risk assessments
-Contribute to the production of research reports and publications

UE07 - £39,347 - £46,974

School of Biological Sciences - Institute of Infection and Immunology Research

Full Time- 35 hours per week

Fixed Term – 1st January 2025 – 31st December 2026


The Opportunity:

We are looking for a Postdoctoral Research Associate to investigate the mucosal immune and inflammatory response during murine infection with the parasite Schistosoma mansoni, focusing on refined cellular immunology readouts.

This post is advertised as full-time (35 hours per week).

The specific aim of this position will be to reveal core immune and inflammatory features of the mucosal response to S. mansoni, with a focus on defining the role of macrophages, dendritic cells and CD4+ T cells in induction vs regulation of intestinal and/or pulmonary tissue damage and repair during murine infection with this parasite. Part of this will involve linking immune readouts with sequencing, microbiota and metabolic data sets to identify key mechanisms that promote or regulate mucosal inflammation against S. mansoni.


Your skills and attributes for success:

-Planning and execution of the research project, under general guidance from the PI
-Experimental work on the mucosal response to S. mansoni, using a range of techniques including murine infection with this parasite, isolation of immune cells from tissues ex vivo and advanced spectral flow cytometry
-Presentation and discussion of research findings within and beyond the research group, including via publications, presentation at conferences etc.
-Supervision of students and junior staff working on the project
-Contribute to laboratory organisation and maintenance

UE07 £39,347-£46,974

CMVM- Human Genetics Unit/Institute of Genetics and Cancer

Full time 35 hours per week

Fixed Term until 31 March 2025



The Opportunity:

We are looking for a statistical geneticist with experience in large scale analyses of genomic data to work on a post funded by the National Institute for Health Research (NIHR) that aims are harness the use, integration and interpretation of large or high dimensional genetic and genomic datasets to investigate multi-morbidity. This post focuses on developing of mathematical models to analyse population-wide genetic and environmental factors linked to multimorbid clusters and to identify causal paths of disease progression and aggregation.

The successful candidate will lead a research programme to understand multi-morbidity in human populations. The successful candidate will interact with a large research community within the Artificial Intelligence community, genomics and health research (https://www.nihr.ac.uk/news/nihr-awards-12-million-to-artificial-intelligence-research-to-help-understand-multiple-long-term-conditions/28581, https://www.ed.ac.uk/usher/news-events/news-2021/artificial-intelligence-multimorbidity-nihr)

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:

-Technically proficient in statistical genetics methods (GWAS, LMM, etc)
-A track record in using or developing instrumental variable methods (e.g. Mendelian Randomization)
-Extremely good communication skills (written and verbal)
-Open and collegial
-Track record in high impact/high quality research publications

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 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: £39,347 to £46,974 per annum.
College of Medicine and Veterinary Medicine / Deanery of Clinical Sciences / Centre for Inflammation Research / Institute for Regeneration & Repair
Full-Time: 35 hours per week.
Fixed-Term: for 3 years.


We are looking for an inventive and enthusiastic postdoctoral researcher to work on a Wellcome Trust Funded Grant studying the molecular controllers of the immune response to inflammation, cancer, and tissue damage using Drosophila as a model system with the ultimate aim of identifying novel therapeutic strategies for inflammatory disease.

The Opportunity:

This is a 3 year, full-time postdoctoral position to work within the lab of Professor Will Wood at the University of Edinburgh. This represents a unique opportunity to be part of a multi-disciplinary team undertaking cross-species research in inflammation and innate immunity, utilising a powerful live imaging approach to understanding how efferocytosis regulates the fate and function of macrophages during health, injury and infection. The post-holder will undertake the Drosophila elements of this project, but will interface with mammalian-focused PDRAs to enable rapid identification of the key, evolutionarily conserved genetic signatures and mechanisms controlling inflammation.

This post will also support part-time and hybrid working, compressed hours and working from home.

Your skills and attributes for success:

-Experience with Drosophila
-Experience with confocal fluorescence microscopy
-Self-motivated, professional, highly organized, and goal-oriented.
-Excellent ability to work within a bigger team and exceptional communication skills.
-Knowledge/interest in mammalian models or a motivation to learn.

Grade UE07: £39,347 to £46,974 per annum.

ECRC / CMVM

Full time: 35 hours per week.

Fixed Term: Until 31/10/2025

The Opportunity:

A short-term post-doctoral research assistant required to help complete a manuscript describing the role of ER-phagy in initiation of pancreatic cancer. This will involve analysis of mouse models deficient in ER-phagy, human tissues, spatial transcriptomic datasets and manipulation of animals using AAV. Note the role is to specifically complete this study and is a fixed project. Thus prior experience of the technique and subject areas would be very helpful.

Overall, the work will contribute to a larger, high-quality program of research designed to address the mechanisms and functions of ER-phagy, hosted within a dynamic laboratory at the forefront of this field.

www.ed.ac.uk/cancer-centre/research/wilkinson-group

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. This post is fixed-term until 31st October 2025.

Your skills and attributes for success:

Prior expertise and knowledge of subject area and techniques
Effective communication
Tight time management skills
Independent working ability

Learning and Development Admin Assistant

Salary: £22,433.00 to £27,709.00 per annum (dependent on skills and experience)

This post is based at Link’s Falkirk office.

However, hybrid working is available with this role.

The Role
At Link, people are at the heart of everything we do. Our people have made our award-winning social enterprise the success it is today and as it continues to grow, we want them to be the best they can be and to reach their potential.

If you are passionate about developing people and would like to be part of an established Learning and Development team, helping us to shape a forward-looking service, this could be the job for you.

We are currently seeking an enthusiastic, driven, and experienced individual to provide administration support in Learning & Development. Reporting to the Learning & Development Assistant, you will be required to provide administrative support including scheduling and booking training courses, maintaining our Learning Management System (LMS) and providing high levels of customer service and support.

This role holds significant importance in ensuring the seamless operation of the L&D service. It is a dynamic and busy role, with lots of interaction with internal colleagues, managers and external suppliers. In addition, you will contribute to the ongoing improvement and development of the L&D delivery model, services, systems, and reporting.

About you
As L&D Administrative Assistant, you will have previous experience of undertaking administrative tasks and organising events.
Strong IT skills are required for this role, especially in the use of MS365 and HR / learning management systems.

You will have good numeracy skills with high levels of accuracy and attention to detail. This role requires a strong team player and experience of working within a team environment to achieve common goals.

A positive, helpful, friendly attitude and willingness to provide help and support to colleagues is essential for this role. The successful postholder will have excellent written & verbal communication skills. Excellent time management and prioritisation skills are required, with the ability to work to deadlines.

In return you will be offered the opportunity to enhance your skills and knowledge through employee training and development. You can expect to work in a supportive, trusting and transparent working environment, with the autonomy to offer creative and innovative solutions whilst maintaining Link’ s values; Responsibility, Empathy, Social Impact, Participate, Equality, Challenge and Transparency.

For further information on the main position accountabilities and a comprehensive list of the essential and desirable criteria required for this post, please refer to the Job Specification in the Job information Pack above.

What’s in it for you?
Link offers excellent terms and conditions, and as an Investor in People and Healthy Working Lives Gold Award holder, we aim to provide a wide range of development opportunities and healthy living initiatives. We offer a wide range of training and development opportunities.

You will work with colleagues who offer support to ensure our customers' expectations are met. In return, we are looking for applications from people who will contribute to our aims and work to the highest professional standards.

For further information on the main position accountabilities and a comprehensive list of the essential and desirable criteria required for this post, please refer to the Job Specification in the Job information Pack above.

What’s in it for you?
As a Link employee, you'll likely benefit from the following:
• Competitive salary, reviewed annually, and opportunity for annual performance related salary increases and discretionary non-consolidated pay awards subject to terms of the scheme
• 35 days’ holiday per year (inclusive of public holidays) pro rata plus an additional 1 day’s pro rata holiday per year after 1 years’ service up to a maximum of 40 days per year
• Opportunity to buy and sell holiday days
• Enhanced company sick and family friendly pay
• Access to paid qualifications and a wide range of learning and development opportunities and funded professional membership
• Defined contribution pension with matched generous employer pension contributions plus salary exchange and additional voluntary contribution options
• Access to an Electric vehicle leasing scheme, subject to the terms of the scheme
• Life assurance scheme providing death in service benefits to named beneficiaries
• Healthcare cash plan for employees (and dependents) to support health and wellbeing plus discounts on shopping, restaurants and other services
• Employee assistance programme for employees and their immediate household dependants to support health, mental and financial well-being
• Annual flu vaccination
• Access to a savings and borrowing scheme
• Cycle to work scheme
• Travel season/travel ticket loan and much more!

This post is subject to Basic Disclosure.

Closing Date: Midnight on Monday 26 August 2024

Interview Date: Interviews are being held on 4, 5 and 11 September 2024 at Link’s Falkirk Office.

How to Apply
Our online application method is the most efficient way to apply and can be started by clicking the “Apply Now” button below. You must complete an application form to be considered for any of our vacancies but you don’t need a CV to apply for our positions. Also, if you aren’t sure about how long you have to fill in the form, you will be able to save it and return to it by clicking on the ‘My Applications’ tab of the vacancy search page and entering your username and password.

Proud member of the Disability Confident employer scheme

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

CMVM / Human Genetics Unit.

Fixed Term Contract - Temporary.

Full Time - 35 Hours Per Week.

The Opportunity:

This is an exciting opportunity to build-on and complete an established and well framed project investigating the earliest stages of cancer. It involves the innovative integration of transcriptional and mutation data to effectively look back in time at the past transcriptional states of cells that subsequently grew into tumours. The project involves hands-on work with animal models, molecular biology and high-throughput computational analysis of the resulting data. There is a clear framework for the completion of the project and scope to define new work building on the initial set of findings. The post-holder will join a dynamic and enthusiastic collaboration between the Taylor and Boulter labs at the Institute of Genetics and Cancer (IGC). The Taylor lab specialises in high-throughput computational analysis to understand the mechanisms of mutagenesis and the consequences of mutations. The Boulter lab focusses on the cellular and molecular mechanisms of liver development, repair and oncogenesis. Both labs are based in the MRC core-funded MRC Human Genetics Unit which is part of the wider IGC.

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:

Hold or pending award of PhD or equivalent in cancer genomics or a related discipline (Desirable).
Trained in animal handling and in possession of a relevant Personal Licence (PIL) (Desirable).
Experience in genome scale analysis using R (Desirable).
Demonstrated ability in experiment design.
Knowledge of gene expression analysis for single-cell or similar data.

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).