Information Management & Librarianship – UK Jobs

These two, full time, permanent posts are available in the School of Criminology, Sociology and Policing at the University of Hull. There is some flexibility in relation to the start date (i.e. between October 2022 and April 2023), depending on candidate availability.
The role
These posts in Quantitative Criminology will contribute to extending the research profile of the School – which saw us rise to 19th in our REF UOA, and top 10 for impact in the most recent exercise – and to help to support the growing taught postgraduate programme that utilises quantitative techniques and tools. The successful candidates will have ambitious, but deliverable research agenda in the broad area of crime and data science and a willingness to make real-world impacts with their research. Candidates outside of the disciplinary confines of criminology with research interests in computational social science and social data studies are also strongly encouraged to apply. All applicants will be judged on merit alone, but we particularly welcome applications from groups currently under-represented in the university’s workforce.
About you
For these Lecturer posts you will have:
A PhD or equivalent in Criminology, Sociology, data science, or a related field.
A track record of an active, strong and independent research programme in a relevant field of research
Experience in Quantitative/computational methods
A willingness to engage in and a track record in participating in interdisciplinary research
Strong connections with relevant practitioner communities, or clear line of sight to the same. 
A emergent record in attracting funding for research, or demonstrable potential to attract such funding.
An enthusiasm for delivering high quality student-centred degree programmes
An enthusiasm for teaching quantitative methods to undergraduate and postgraduate students
Involvement in impactful research projects.
An enthusiasm for joining our academic community and playing a full role within it.
Please ensure you read the Job Description and Person Specification for full details of this role.
School of Criminology, Sociology and Policing
Criminology, Sociology and Policing is a long-established and growing academic School that recruits strongly across its undergraduate, taught postgraduate and postgraduate research programmes.
The School is currently comprised of 26 members of academic staff, who approach criminology from a multitude of disciplinary perspectives, with strategic approval to increase these numbers beyond thirty in the short term. The School delivers a core undergraduate degree in criminology, as well as a suite of ‘with’ programmes, and the Professional Policing Degree now in its second year.
In the most recent REF exercise, the School was placed in 19th in the country and in the top ten for impact in its UOA. As part of our growth and strategic positioning we are seeking two Lecturers in Quantitative Criminology to widen our teaching provision into this important and emergent area, and to take advantage of the research opportunities that have been presented with public authorities and others that require a data-driven approach.
Further information
For an informal and confidential discussion about the post please contact the Head of School, Professor Robert Dover (email: [email protected]), or Professor Iain Brennan (email: [email protected])
Further details:
At Hull we are committed to equality of opportunity, diversity and inclusion at every level, because we believe a diverse workforce brings broader expertise, improved innovation and greater success for all. 
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

The Institute for Social and Economic Research (ISER) at the University of Essex wishes to appoint a Senior Research Officer to support biosocial research using the Understanding Society. This is an exciting point in the Study’s history, as ESRC has funded biomarkers being collected on the study again (at wave 16) to create a longitudinal biosocial resource to add to the existing biomarkers, genetics, epigenetic and proteomic data already available.
Understanding Society: The UK Household Longitudinal Study (UKHLS) is a major household panel survey funded by the Economic and Social Research Council with co-funding from some government departments. The main study began in 2009 and incorporated its predecessor the British Household Panel Study (BHPS) and together, at wave 1, they included approximately 40,000 households. In waves 2 and 3, clinical data were collected from a large subset of participants. These data include blood samples from which a number of analytes were measured, including proteomics data, and DNA extracted for genome and epigenome-wide scans. At wave 16, which goes into the field in 2024, we will repeat this data collection and additionally include the collection of microbiome samples. All Understanding Society data is made available to the research community, and a key part of this role will be to support users wanting to use these data through the development of resources and training.
Duties of the Role
The postholder will have two broad roles: to develop, support and manage the biological resources for the Study and to carry out research using these data to understand the complex associations between people’s social lives, their biology and their health.
A full list of duties and responsibilities can be found within the job pack.
Qualifications and Skills required
The successful candidate will hold doctoral level degree in relevant biological, bioinformatic or health discipline (or be close to completion of PhD), or equivalent professional experience or practice.
You must have an understanding of biology or bioinformatics, with experience of managing large-scale genotype data processing and management, metadata management and documenting datasets. A familiarity with standard computational tools of statistical genetics and advanced programming experience with scripting languages is also essential, whilst experience of quantitative analysis using large-scale survey data would be an advantage.
The postholder needs to be able to explain complex biological and statistical processes to a wide range of audiences. You must also be able to demonstrate the ability to establish and maintain strong and positive working relationships with a wide range of colleagues, data users and external partners.
Applications are welcome for full-time and part-time hours where applicants are able to work a minimum of 0.6 FTE (21.6 hours per week). Please state clearly on your application form the contract type for which you are applying, and how many hours per week you wish to be considered for if applying for part-time.
Please use the ‘Apply’ button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here. Our website http://www.essex.ac.uk contains more information about the University of Essex. If you have a disability and would like information in a different format, please email [email protected] 

University of the West of Scotland – School of Computing, Engineering and Physical Sciences
Based at Key Facilities Management Doune, with occasional travel to Paisley
Fixed term 10.5 Months
37.5 Hours per week
Do you want to work with a pioneering business and an academic team to build Facilities Management centric technology solutions to streamline processes? 
Are you looking for a unique opportunity to use your knowledge, skills and experience to complete an exciting project focused on the development of Smart Facilities Management framework?
Would you like to work with a sector pioneer technology innovation company and be supported by senior company management and by a team of academics from The University of the West of Scotland?
Do you have experience of working in a rapidly expanding business?
The company 
KEY FM is a sector pioneer having contributed more pro rata to the professionalisation of the Facilities Management (FM) sector than any other business globally, the business specialises in FM consultancy, tailoring True FM services, digital transformation services and, smart technologies. 
Find out more about us: https://key.fm/about-key-facilities-management-consultancy/true-fm/ 
The role
The project has already commenced and foundational work on data visualisation, space management and indoor environmental quality have been completed. We now seek a Data Scientist project completer to focus on providing deeper insights and integration across multiple FM systems. You will benefit from direct engagement and support from both the company senior management and academic teams and there is potential for post project employment subject to performance.
Why UWS? 
UWS was named Higher Educational Institution of the Year in The Herald Higher Education Awards 2022 and is officially ranked by Times Higher Education in the top 600 universities worldwide (2022 World University Rankings) as well as in the top 150 universities worldwide under 50 years old (2022 Young University Rankings). University of the West of Scotland is one of Scotland’s largest and most dynamic modern universities. 
We support you – We are the only Scottish University to have a dedicated KTP centre, meaning you are fully supported throughout your time with the company by UWS staff. 
Find out more: Knowledge Transfer Partnerships | UWS | University of the West of Scotland
You grow with us – Many of our KTP associates are offered permanent roles and continue to provide support to projects as part of a team and autonomously.
The successful candidate should have the following:
MSc in Computer/Data Science, Electronic Engineering (2.1)
Experience in development and application of Machine Learning and Artificial Intelligence algorithms
Experience of software design, documentation and management and, using analytics engines for Big data processing and High level Python, C/C++, MATLAB
Experience in Data Engineering (ETL/ELT processes, stream analytics), preferably in the Azure Cloud
Knowledge and understanding of Deep Learning and fuzzy logic systems
Ability to analyse, design, develop, and validate integrated data science pipelines in varied and diverse business context
Understanding of tagging conventions and taxonomies for equipment and operational data produced by smart devices
If you have questions about this vacancy contact: Dr Ashwini Konanahalli [email protected] or Prof. Zeeshan Pervez [email protected] 
Further information, including a detailed job description and how to apply are available at https://jobs.uws.ac.uk/
Closing date: 23 October 2022
Interview date: 1November 2022 
UWS is committed to equality and diversity and welcomes applications from underrepresented groups.
UWS is a “Disability Confident” employer.
University of the West of Scotland is a registered Scottish charity, no. SC002520.

Ref: 22/110291
Duration: Permanent
Hours: Full-time
Salary: £38,592 – £53,353 per annum
Queen’s Management School at Queen’s University Belfast is currently seeking to appoint an exceptional candidate to the post of Lecturer in Business Analytics/Information Systems. This is a key post within the Queen’s Management School’s Information Technology, Analytics & Operations (ITAO) Group.
At a time of growth, the successful candidate will have the opportunity to shape and strengthen the future direction of the ITAO Group from both a research and teaching perspective. Our supportive research environment enables attendance at national/international conferences, facilitates the pursuit of high-quality publications and fosters meaningful engagement with non-academic stakeholders.
The appointed candidate will get the opportunity to interact and work with colleagues whose research is internationally renowned for excellence and societal impact. Current and incoming ITAO Group members have published their work in leading scholarly journals including Information Systems Research, Production & Operations Management, British Journal of Management, Journal of Strategic Information Systems, European Journal of Information Systems, Information Systems Journal, and European Journal of Operational Research.
The successful candidate’s application should clearly demonstrate:
A PhD (or very close to completion) in Business Analytics/Information Systems or related disciplines
A growing trajectory of research excellence and reputation in the Business Analytics/Information Systems areas
A track record of high-quality peer reviewed journal publications in the Business Analytics/Information Systems areas, as appropriate to norms for Lecturer
Ability and willingness to teach and assess to the requirements of the ITAO Group in the Business Analytics/Information Systems areas
Ability and willingness to contribute to the strategic and operational management of the ITAO Group.
Please refer to the relevant job descriptions for additional essential criteria relating to research, teaching, and management/administration.
Please note the above are not an exhaustive list.
Key Dates
Closing Date: 07/11/2022
Anticipated Interview Date: 28/11/2022 and 29/11/2022
Further Information
Informal enquiries may be directed to Dr Stephanie Graham ([email protected]) or Byron Graham ([email protected])
Information about the school can be found at www.qub.ac.uk/schools/QueensManagementSchool/
At Queen’s our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development.
We offer an excellent employment package that includes:
Great terms & conditions
Pension schemes
Flexible working by enabling you to design your working week in collaboration with your manager through a blend of remote and office working
Family-friendly initiatives
Career development opportunities
Support for health & mental wellbeing
Generous holiday entitlement of 8 weeks a year (made up of 23 days annual leave, 10 closure days and 9 bank holidays)
Further information on our attractive package can be found at: www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/
Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Race) and PRISM (LGBTQ+) which help us progress equality.
We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion, please visit: www.qub.ac.uk/diversity; https://www.qub.ac.uk/sites/QueensGenderInitiative/ and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/
For further information about the role including the essential and desirable criteria please visit www.qub.ac.uk/jobs or click to Apply.

This is an exciting opportunity for a skilled and methodical problem-solver to contribute to the development and organisation of our portal and intranet services for staff and students.
As part of this role, you will have the opportunity to join a team of Digital Information Advisers responsible for the design and development of intranet sites and team working areas for all parts of the University. The team also provides expert advice and support for site owners, either one-to-one or through training events and online guidance. 
You will be able to contribute to the delivery of strategic projects to develop the use of SharePoint and other portal technologies as required and will play a role in the optimisation of our intranet and portal provision. 
To be successful you will have: 
A degree, relevant Microsoft Certification or equivalent knowledge of information architecture / information management
Excellent communication skills 
Good working knowledge of SharePoint and Microsoft 365 environments 
A structured approach to information architecture and data management 
A track record of effective service delivery
We welcome applications from job sharers. 
Further details:
The University is committed to an inclusive environment which embraces equality and diversity in our working, learning, research and teaching environment. We particularly encourage applicants from Minority Ethnic backgrounds because the university is underrepresented by Minority Ethnic staff.
Further information about working for us, as well as the wide range of benefits we offer, can be found in the working with us section of our vacancies page.

Ref: 22/110290
Duration: Permanent
Hours: Full-time
Salary: £54,949 – £63,673 per annum
Queen’s Management School at Queen’s University Belfast is currently seeking to appoint an exceptional candidate to the post of Senior Lecturer in Business Analytics/Information Systems. This is a key post within the Queen’s Management School’s Information Technology, Analytics & Operations (ITAO) Group.
At a time of growth, the successful candidate will have the opportunity to shape and strengthen the future direction of the ITAO Group from both a research and teaching perspective. Our supportive research environment enables attendance at national/international conferences, facilitates the pursuit of high-quality publications and fosters meaningful engagement with non-academic stakeholders.
The appointed candidate will get the opportunity to interact and work with colleagues whose research is internationally renowned for excellence and societal impact. Current and incoming ITAO Group members have published their work in leading scholarly journals including Information Systems Research, Production & Operations Management, British Journal of Management, Journal of Strategic Information Systems, European Journal of Information Systems, Information Systems Journal, and European Journal of Operational Research.
The successful candidate’s application should clearly demonstrate:
A PhD in Business Analytics/Information Systems or related disciplines
Recognised excellence and reputation in the Business Analytics/Information Systems areas
A sustained publication record of international excellence in the Business Analytics/Information Systems areas
Experience of teaching and assessment in Business Analytics/Information Systems areas at university level
The ability to contribute to successful, sustained postgraduate student supervision as primary supervisor, normally at PhD level.
Please refer to the relevant job descriptions for additional essential criteria relating to research, teaching, and management/administration.
Please note the above are not an exhaustive list.
Key Dates
Closing Date: 07/11/2022
Anticipated Interview Date: 21/11/2022 and 22/11/2022
Further Information
Informal enquiries may be directed to Dr Stephanie Graham ([email protected]) and Byron Graham ([email protected])
Information about the school can be found at www.qub.ac.uk/schools/QueensManagementSchool/
At Queen’s our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development.
We offer an excellent employment package that includes:
Great terms & conditions
Pension schemes
Flexible working by enabling you to design your working week in collaboration with your manager through a blend of remote and office working
Family-friendly initiatives
Career development opportunities
Support for health & mental wellbeing
Generous holiday entitlement of 8 weeks a year (made up of 23 days annual leave, 10 closure days and 9 bank holidays)
Further information on our attractive package can be found at www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/
Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Race) and PRISM (LGBTQ+) which help us progress equality.
We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion, please visit: www.qub.ac.uk/diversity; https://www.qub.ac.uk/sites/QueensGenderInitiative/ and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/
For further information about the role including the essential and desirable criteria please visit www.qub.ac.uk/jobs or click to Apply.

Open-ended Contract, 21 hours per week, 0.6FTE
The Opportunity:
We are looking for a senior technician to maintain equipment; lead a team of student staff; and oversee the delivery of the award winning uCreate makerspace and related services within the University of Edinburgh Main Library.
The position is offered on a part time basis with an open-ended contract. This is an on campus position, working out of the Main Library Makerspace.
Your skills and attributes for success:
Active enthusiasm and passion for creating and making.
Track record of supervision in a demanding user-focused environment.
Experience carrying out mechanical and electronic repairs. Diagnosing problems and implementing solutions.
Experience of advising others regarding design, materials, manufacture etc. in either a commercial, educational, or Makerspace environment.
Experience working with some combination of:Mixed Reality
Digital Manufacture
3D Digitisation
Electronics and programming

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

We are inviting applications for the post of Research Associate/Fellow in the School of Geography.
The purpose of the role is to develop and undertake research as part of the international, multi-institutional UKRI GCRF Living Deltas Research Hub (www.livingdeltas.org). The post holder will work under the direct supervision of Dr Virginia Panizzo at University of Nottingham and in close collaboration with colleagues (UK and overseas) from across the Living Deltas Hub, which operates a model of equitable partnership with delta-dwellers and the research community. 
The person appointed will be expected to plan and conduct work (including overseas fieldwork) using approaches or methodologies and techniques appropriate to aquatic monitoring and data analysis and will be responsible for writing up their work for publication.
The successful candidate will also be expected to contribute to the formulation and submission of research publications and research proposals, as well as help manage and direct aspects of the project as opportunities allow. 
The UKRI GCRF Living Deltas Hub
The Global Challenges Research Fund (GCRF) is a £1.5 billion fund to address the global issues faced by developing countries. The Living Deltas Hub has the overarching aim to safeguard delta futures through more resilient communities and sustainable development. River deltas comprise just one per cent of global landscapes yet support over half a billion people. Deltas are vital social-ecological systems and regional food-baskets, but the terrain and the livelihoods of those who rely on them are under threat from human exploitation, environmental degradation and climate change.
Focusing on the Red River and Mekong deltas in Vietnam and the Ganges-Brahmaputra-Meghna delta in Bangladesh and India, the Living Deltas Hub’s core aim is a significant contribution to better sustainable development outcomes for developing countries in the region, transforming policy and practice, based on new approaches to understanding delta change. The Hub will address the significant social-ecological challenges currently confronting these delta systems in a transdisciplinary manner in line with the UN Sustainable Development Goals. 
We welcome applications to join our diverse and transdisciplinary team from recent PhD graduates in physical geography or equivalent fields (including Biology, Environmental Sciences), as well as from applicants with postdoctoral experience. Applicants must have experience of undertaking fieldwork, desirably with experience of challenging fieldwork in tropical environments. We particularly welcome applicants who have experience of aquatic monitoring and ecological assessments, in both field and laboratory environments. Furthermore, experience of physical, geochemical and ecological (desirably including algal pigments) statistical analysis, with desirable experience of complex and multivariate datasets.   
This role is available on a fixed term basis until 31/12/2023. Hours of work are full time (36.25 hours).
Shortlisted candidates for interview will be asked to present a 5 minute presentation explaining how their research background and training can fit with the Living Deltas Hub.
Informal enquiries may be addressed to Virginia Panizzo, email [email protected] Please note that applications sent directly to this email address will not be accepted.

Job reference: PSX-019932Location: Oxford Road, ManchesterClosing date (DD/MM/YYYY): 19/10/2022Salary: £34,308 to £42,155 per annum, depending on relevant experienceEmployment type: PermanentFaculty/Organisation: Professional ServicesDivision: IT Services Research ITHours per week: Full timeContract Duration: Starting as soon as possibleSchool/Directorate: Directorate of IT Services
The University of Manchester
The University of Manchester is a truly global institution with a reputation for education and innovation that resonates across the world, offering a wide range of courses and boasting outstanding facilities in the centre of Manchester. With 25 Nobel Prize winners among its current and former staff and students, it has a history of world firsts and brilliant discoveries. Manchester’s industrial and cultural heritage is mirrored by the achievements of some of the University’s most celebrated names.  The computer revolution started here in June 1948 when a machine built by Tom Kilburn and Sir Freddie Williams, known affectionately as ‘The Baby’, ran its first stored program. The celebrated wartime codebreaker Alan Turing worked on this computer during his time at Manchester.
The University is committed to world-class research, an outstanding learning and student experience and social responsibility in everything it does.  It is making one of the largest investments in facilities ever seen at a UK university, with £750 million spent so far and a further £1 billion to follow by 2022. Its goal is to become one of the world’s leading Universities.
About IT Services
IT Services at the University of Manchester is a vibrant and fast-moving department, we focus on delivering excellent customer service and quality services for our staff, students and researchers. 
Find out more about our organisation and values:
IT Services: About us and ITS Practice Charter
Benefits of working at The University of Manchester
The Team
Research IT (RIT) is a fast-growing, can-do group within IT Services at the University which delivers specialist, e-research capabilities which are critical to the success of the University’s research.
The Role
Its all about the data.  Data sets are growing truly exponentially;  on-site/Cloud hybrid offers opportunity but adds complexity;  research funding bodies require data to be kept for at least 10 years;  loss of data could be catastrophic for the business, but the cost of resilient storage platforms can easily spiral out of control;  and the implications of GDPR and other regulations add yet another term to the equation.  Managing data is now one of the greatest challenges in both research and IT. 
IT Services is building a new Data Management Team, within Research IT, which will address these challenges.  Day to day work will combine technical, data governance and user-facing activities. 
Analysis of meta data on large-scale file storage platforms;  migration of data to appropriate storage tiers.
Optimisation of the end user file storage experience (e.g., exploitation of functionality of new platforms and technologies).
Elimination of legacy data storage platforms.
Working with colleagues in the Library, IT Services, the research community and other areas of the University on the development of data archive and preservation platforms.
Ensuring compliance with data protection laws, data provider regulations and University information governance rules.
The Person
Essential knowledge, skills and experience
Experience in a related role.
An understanding of the key issues in data management, especially research data management, in a HE environment.
A good working knowledge of IT data storage platforms, IT network protocols and either the Linux operating system or Microsoft Windows, including administration and support — preferably both.
Good communication and interpersonal skills — face-to-face and via both virtual and written channels.
The ability to work as an effective part of a team and to establish productive relationships with people from a variety of backgrounds and with a variety of skills:  technical, non-technical, academic and research.
An understanding of the fundamentals of data protection laws such as GDPR and information security standards such as ISO27001.
Desirable knowledge skills and experience
A good understanding of the technologies used to deliver computational, storage, VM and Cloud-based platforms.
Experience of working in a higher education environment.
An understanding of the research data lifecycle and research data management principles.
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working – you can find out more here
Blended working arrangements may be considered
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Michelle Clayton/Simon HoodEmail: [email protected]/[email protected] 
General enquiries:
Email: [email protected]
Technical support:
jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.

Company description:
We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.
Job description:
The Role
We are recruiting for a Bioinformatician to join our team at the John Walton Muscular Dystrophy Research Center (JWMDRC). The JWMDRC is a world-class center of expertise in neuromuscular disorders delivering diagnosis and care to patients but also performing high class translational research including clinical and basic research. The role will suit an enthusiastic, talented, and self-motivated individual with proven skills in bioinformatics and working with big data to complement the team working on basic research projects in the laboratory of the JWMDRC.
As a bioinformatician, you will support a range of research activities across the centre, particularly the analysis of genomic, transcriptomic and proteomic data. The role will include using standard approaches and identifying ones to analyze data obtained from multiple omics, especially single cell/single nuclei RNA sequencing and Spatial Transcriptomics. You will work closely with the laboratory scientists and our NHS colleagues to provide guidance on experimental design, data analysis and interpretation of omics data to facilitate interactions between wet-laboratory experiments and data interpretation that will help us to progress in our main motivation, which is understanding the molecular pathways involved in the process of muscle degeneration in neuromuscular diseases.
You will join a diverse, supportive and innovative team of researchers with extensive experience in cell and molecular biology and omics-type data sets. You should have a Phd In a relevant discipline for Research Associate level and a good Honors degree for Research Assistant level. You should also have a strong level of expertise in programming (e.g. Linux, R or Python) and experience in the analysis of complex datasets and handling of computational biological resources.
The JWMDRC is committed to supporting equality, diversity and inclusion for all staff and students.
The post is available on a full time, fixed term basis, until 03.08.2024.
For informal enquiries regarding the role, please contact Prof. Jordi Diaz Manera at [email protected]

Hampton Court Palace
We are a team of people who love and look after six of the most wonderful palaces in the world. We create space for spirits to stir and be stirred. We care for thousands of historic objects, many of them in their original royal setting.  We are looking for someone with a real interest in our history, the buildings and their contents, who can help conserve them to the standard they deserve: the best. This is an exciting opportunity to work in a world class lab, supported by an AHRC £1 million research infrastructure investment.
In this post you will deliver heritage science operations and research projects that support the Conservation, Collection Care and Collections Management team’s annual and longer-term programme of scientific investigations and research. This includes supporting the Heritage Science Manager on major research initiatives, collaborating with internal and external stakeholders, and aiding conservators and curators with science-based research queries. You will also be responsible for laboratory maintenance and operations to ensure a smooth running and supportive service.
You will have undergone training in a scientific discipline, with a specialism in heritage science or a relevant subject. An awareness of the materials and analytical science needed for the study, care and display of historic objects is essential, as is laboratory work experience and familiarity with the operation of analytical instruments (e.g. SEM EDS, XRF, FTIR, HPLC, HSI). Strong practical computing experience is desirable. You will be an adaptable and creative problem-solver who can work independently. Enthusiastic and able to communicate effectively, you will have experience in the dissemination of information, both written and spoken to pro-actively explain and promote heritage science to generalist and specialist audiences.
This position is based at Hampton Court Palace, but you may be required to travel to our other palaces on occasion. The role involves working at heights.
Interview date: Monday 31 October 2022
We have adopted a hybrid model of part working from home and part working from site, we are open to discussing what best works for individuals and their work life balance whilst also delivering the business requirements.
Find out more and apply by visiting www.hrp.org.uk/recruitment
Historic Royal Palaces is an equal opportunities employer and truly values a diverse workforce.  Applications are welcome from candidates regardless of their background.

The Liverpool Reviews and Implementation Group (LR*i*G) was established in 2001 with funding from the National Institute for Health and Care Research Health Technology Assessment (NIHR HTA) programme to provide high quality systematic reviews of the clinical and cost effectiveness of healthcare technologies primarily for the National Institute for Health and Care Excellence (NICE). The group is multi-disciplinary and includes systematic reviewers, medical statisticians, health economists, economic modellers, drug information experts and information specialists.
The LR*i*G team has submitted more than 60 NIHR reports and published over 125 papers or abstracts directly related to clinical and cost effectiveness research. The research carried out by LR*i*G is used directly by NICE to make decisions related to treatments that are made available within the National Health Service. Having worked in HTA for over 21 years, LR*i*G is now considered to be a leader in this field. 
A major function of the group is the critical appraisal of clinical and cost effectiveness reports submitted to NICE as part of the Single Technology Appraisal (STA) process and we are seeking to appoint a Research Fellow in Health Economics Modelling/Health Technology Assessment with appropriate analytical skills who can help to manage and deliver these projects. Preference will be given to applicants who have worked in the NICE STA process. The work of the group also includes the conduct of systematic reviews of clinical and cost effectiveness evidence, and we expect the successful candidate to have the skills and expertise to conduct systematic reviews.
The University of Liverpool and LR*i*G actively support staff development. Progression is tailored to individual circumstances and may include participation/teaching in short training courses, support of individual research interests and development of an academic profile through publications and attendance/presentation at national and international conferences. The University and LR*i*G are fully committed to Athena SWAN principles to promote women in science and are keen to accommodate staff with family or caring responsibilities. We have a package of family-friendly policies, covering flexible working, career breaks and entitlement to paid maternity, paternity and adoption leave. You may also wish to consult www.liv.ac.uk/lrig for background information on the main work of the group.
We wish to appoint a Research Fellow with economic modelling skills, HTA experience, leadership potential, initiative and the ability to work to strict deadlines. You will have a senior role in an economics team whose primary focus is the critical appraisal of economic models designed to assess the cost effectiveness of health care interventions.
You will have a PhD/Master’s degree in Health Economics, Statistics, Operational Research or a related field, an ability to manage quantitative data as well as advanced computing skills. Proven experience in the development and critical appraisal of economic models of cost effectiveness is required and you must be able to use a variety of software packages to design economic models. You must be organised, conscientious and able to work both independently and within a research team.
This post is available on a fixed term basis until 31st October 2024.
The University has the right to close the vacancy early if it is deemed that there have been enough applications received.
For full details and to apply online, please visit: recruit.liverpool.ac.uk