Total 84 Science / R&D / Research job vacancies in Aberdeenshire, Scotland

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

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).

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.

College of Science & Engineering Administration

Research Support Administrator
Vacancy Reference: 152156
Salary: UofG Grade 5, £25,138 - £29,605 per annum

The University of Glasgow has been changing the world for more than 572 years. Today, we are one of the world's top 100 universities and ranked 13th in the world in the Times Higher Education (THE) World Impact Rankings 2023, demonstrating that we are not only one of the best universities in the United Kingdom, but one of the best universities for the world. Our people have always been at the forefront of innovation, and our past achievements inspire our current world changers.

An exciting opportunity has arisen for a Research Support Administrator to join the College of Science and Engineering on a permanent basis.

In this role, the successful candidate will provide comprehensive research management support, administration and process advice and guidance to Project Co-ordinators and Principal Investigators across the college, fostering a strong customer service culture.

The postholder will be the main point of contact between College staff and University Services Research Support Office staff to clarify, and implement administrative requirements and resolve issues in order to provide effective research management support to Principal Investigators.

Furthermore, you will provide administration support to the College Research Office.

This post is full time (35 hours per week) and offered on an open ended basis.

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.