Contract status: Open
Based at: University of York campus (with some remote working options available)
Interview date: 28 July 2022
The Department of Mathematics is seeking a talented new colleague to join our vibrant Statistics and Probability group to complement and expand research interests in Data Science at York. You will have a strong research record in this area and the capacity to attract funding and form interdisciplinary collaborations and engage with industry. You will have a passion for teaching statistics and will seek to inspire our students with innovative teaching methods. There will be an opportunity to assist in the development and teaching of two new programmes in Data Science.
We are a research-led department. We have high-calibre staff who produce innovative and technically demanding research on a world stage with a healthy span of research areas in pure and applied mathematics and statistics. All of our research was rated world-leading (4*) or internationally excellent (3*) in REF2021 in all three categories: outputs, impact and environment.
To develop research objectives, projects and proposals and carry out individual or collaborative research projects.
To lead on and/or contribute to the production of research outputs and research outcomes.
To design, develop and deliver teaching across a wide range of modules and/or within a particular programme or subject area.
To undertake effectively a range of administrative and managerial responsibilities.
To promote interdisciplinary research and engage in impact-generating research and industrial collaboration.
Skills, Experience & Qualification needed
You will have a PhD, or equivalent professional experience, in Statistics or related quantitative discipline. You should also hold an appropriate academic professional and teaching qualification or a willingness to complete the Postgraduate Certificate in Academic Practice.
You will have extensive specialist knowledge in your subject area, to design, develop & deliver teaching to students in the Department of Mathematics, and to complement and enhance the department’s research strategy and goals with publicly evidenced, high-quality research. You will be able to evidence your ability to disseminate your research findings at conferences and other appropriate events.
You will have proven abilities to initiate and develop interdisciplinary research projects and engage in impactful research.
You will be able to provide learning support to students and have knowledge of a range of teaching and research techniques & methodologies. You will have experience of taking responsibility for teaching and learning at both undergraduate and postgraduate level and of successful course planning, design and delivery.
You will have the ability to develop research objectives, projects and proposals and have well-developed analytical skills.
You will have advanced and specialist IT knowledge and highly developed communication skills to engage with a wide ranging audience using a range of media. You will have the ability to supervise the work of others, for example as an MSc, PhD or postdoctoral supervisor.
Interview date: 28 July 2022
For informal enquiries: please contact Professor Julie Wilson at [email protected] or Professor Martin Bees at [email protected]
The University strives to be diverse and inclusive – a place where we can ALL be ourselves.
We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University.
We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork
School/Service: Library & Learning Service
Salary: £34,304 – £39,739
Terms of contract: Indefinite
Contract type: Full Time
Interview date: 5 August 2022.
Closing date: 10 July 2022.
Ref no: 12177
This exciting role offers the opportunity to play a key part in supporting students and staff at Solent University in accessing and benefiting from the Library’s information resources and services.
As a qualified information professional, you will join a team of Information Librarians supporting Solent students, staff and researchers to access the broad range of quality information resources available to them through Solent Library and beyond.
You will develop effective relationships with Faculty staff and students, develop and manage Library collections, plan and deliver information literacy training, and offer advice and guidance on all aspects of the Library’s services and resources. You will be confident in developing online guidance materials and delivering both remote and in person training on all aspects of information literacy.
Excellent communication skills are essential for this role, as is the ability to build relationships with partners across the University and externally.
This role will work closely with the Faculty of Sport, Health and Social Sciences.
Solent University offers an excellent benefits package. More Information.
We are Confident. We are Progressive. We are Inclusive. We Are Solent.
The Department and role purpose:
The University Library and Collections is made up of six sections: Collections; Customer Services; Education, Learning and Engagement; Research and Systems; Museums, Galleries and Exhibitions; and Finance and Administration. Staff work flexibly between the sections, 7 enabled by cross-cutting groups, Collections, Education, Engagement, User Experience, Operations, Research, Staff Development and a Programme and Project Steering Group.
The Collections team, under the leadership of the Head of Collections, has broad responsibility for the acquisition, cataloguing, management, preservation and conservation of collections, including modern print and electronic collections, archives, and rare books. Their work also includes the administration of reading lists, inter-library loan, and the provision of search-room and enquiry services for Archives and Special Collections. Their expertise and collections knowledge (alongside colleagues across the department, for example in our museums team) are used in support of learning, teaching, research and public engagement activities.
The Archives and Special Collections at Palace Green Library comprise exceptionally rich and varied material, dating from early medieval to modern, and including manuscripts, archives, rare and open access books, maps, prints, photographs, born-digital and digitised material and some objects. The University also works in partnership with Durham Cathedral to manage and provide access to their archives, based at 5 The College, and also with Ushaw Trust to manage and provide access to library and archive collections at Ushaw College.
The main focus of the role is the archives and book collections held in the former Roman Catholic seminary of Ushaw College in County Durham, which are managed by Durham University in partnership with UshawTrust. These collections built up at Ushaw College since its establishment as a Catholic seminary in 1808 reflect its role as a major institution for Catholic higher education until its closure as a college in 2011. The collections date back to the early Middle Ages and comprise the library and archive of the institution itself, and those of a number of other related Catholic organisations and individuals. The postholder will also have a particular focus on those collections held by the University relating to Catholic communities and organisations. The postholde! r will sp lit their time between work at Ushaw College and Palace Green Library. They will report to the Senior Manager – Archives and Special Collections and work within the Archives and Special Collections team based at Palace Green Library, and will also work closely with Ushaw staff.
Interview date: To be confirmed
The Bradford-Renduchintala Centre for Space AI at the University of Bradford is seeking a talented, creative and self-motivated individual to fill a Post-doctoral Research Assistant post to contribute to an EU H2020 project on the application of machine learning for network optimisation and security intrusion prediction and prevention.
The post holder will need to be able to work independently, manage his/her own workload and his/her research to meet strict deadlines. S/he will need to contribute to the Centre’s activities.
The Bradford-Renduchintala Centre for Space AI was established in November 2021. The successful candidate will join a multidisciplinary team of over 20 academics and research staff in the Centre across different themes of research related to space and satellite systems, including but not limited to communications, satellite imaging and data science, artificial intelligence, distributed control systems, software defined radio and networking, security and reliability analysis.
The post will be for a period of 15 months from 1st September 2022 to 30th November 2023. If you think you possess the skills, experience and personal attributes that we are looking for, please complete the application form in and upload your CV to our recruitment portal.
Any further queries, please contact Prof. Fun Hu ([email protected]).
Confronting Inequality: Celebrating Diversity
At the University of Bradford we accept people for who they are regardless of age, disability, gender identity, marital status, ethnicity, faith, sexual orientation or socio-economic background and whether you’re pregnant or on maternity leave.
In line with the University’s commitment to equality charters including Athena Swan, Race Equality Charter, Disability Confident and Stonewall Diversity Champions Programme, we welcome applications from people identifying with these characteristics. The University has a number of staff networks which provide peer support and safe spaces for staff who hold these and other identities.
Contract: Fixed Term to until 31st March 2026. Full-time
Location Singleton Campus
Population Data Science is a growing multi-disciplinary field, which focuses on collections of people, and the biological, economic, social, and environmental experiences that shape their lives, their health and their wellbeing.
The Population Data Science group, formerly known as the Health Informatics group at Swansea University Medical School, is at the forefront of the increasingly important field of Population Data Science – the science of data about people and hosts 12 research centres of excellence and the world-renowned SAIL Databank.
Population Data Science is a growing and multi-disciplinary field, which focuses on collections of people, and the biological, economic, social, and environment experiences that shape their lives, their health, and their wellbeing.
We are proud to be pioneering this science across a range of major data-intensive initiatives hosted at Swansea University Medical School. Our works locally, across the UK, and internationally to deliver a range of infrastructural, analytical, and public engagement initiatives for the safe, socially acceptable, and effective use of population data for public benefit. https://popdatasci.swan.ac.uk/
The post is provided as part of the ESRC funded Administrative Data Research Wales investment to deliver both our existing and new courses and develop new informatics and data science capacity building and knowledge transfer activities across the UK for ADR Wales partner country sites, devolved and UK Government. https://www.adruk.org/about-us/our-partnership/adr-wales/
The post will assist in the development of a delivery programme that will be reported on every quarter to the ESRC.
The role will be based within a capacity building and knowledge exchange team and will develop and deliver both health and administrative data courses, online learning content, seminars, reference materials and workshops to support the academic linked data research community. They will also develop a dynamic research portfolio covering the pedological application of informatics, data science and linked data research.
The post will also work closely with a vibrant teaching team that currently delivers a portfolio of MSc, MRes and continuing professional development courses and has a vision to create more teaching that mobilises the extensive knowledge and learning from our group’s world class research activities.
The role holder will be a skilled Data Scientist and will have developed skills and abilities in a range of linked data toolsets and methodologies.
The applicant will have a keen interest in transferring their data science knowledge to students, academics, and government researchers
The role holder will have the opportunity to shape and inform the data science training and capacity building agenda across the UK.
The role holder will be research dynamic in data science and has the ability to apply for exciting new grant opportunities.
To apply for the post please click on the link: Lecturer in Data Science (swansea.ac.uk)
We seek a PhD graduate (or someone close to completion) with expertise in agent based modelling (ABM), discrete event simulation (DES), and hybrid modelling, who will be responsible for leading a 2-year Knowledge Transfer Partnership (KTP) between University of Kent and the Port of Dover to support long-term strategic developments at the Port. The Port of Dover is Europe’s busiest roll-on / roll-off ferry port, as well as the second busiest cruise port in the UK. The Port also operates a large cargo terminal, importing fresh produce and other goods to supply the UK market.
The KTP Associate will be tasked with helping to inform the Port of Dover’s master planning exercise by developing bespoke ABM / DES / hybrid models to forecast and manage traffic flows in response to evolving post-Brexit regulatory requirements and the implementation a new digital border. Successful delivery of the project will enable reduced congestion, increased throughput of goods, and wider environmental and social benefits through decarbonisation and local air quality improvements. Port of Dover’s vision is to create world-leading capability in traffic modelling to enhance port operations and planning, as well as continual improvement of the UK’s leading trade artery with the EU. This KTP will form a strategic component of that vision as the Port looks to embed new expertise in ABM and grow the business through new investment in border and check-in infrastructure and digitalisation.
The successful applicant will be based at Port of Dover’s premises, being embedded in the Port’s Strategy and Corporate Planning Team, and will work closely with a team of academics from the Department of Analytics, Operations & Systems in Kent Business School. This is an exciting opportunity to work on significant technical and commercial challenges by putting cutting-edge analytics into practice at a dynamic, publically visible, and economically critical UK business.
Applicants should hold a PhD in operational research, management science, business analytics, or similar. Candidates must have an in-depth knowledge and demonstrated proficiency in the application of ABM / DES / hybrid modelling, as well as a good understanding of data analysis and statistics. Good computer programming skills (e.g. C/C++, Java, Python) and experience working with one or more industry standard simulation and statistical packages (e.g. AnyLogic, SIMUL8, Repast, MASON, R, SPSS) are essential. Previous industry experience is highly desirable as is a proven track record of academic publishing.
For informal discussion only, please contact Prof Jesse O’Hanley, Head of the Department of Analytics, Operations and Systems ([email protected]).
Please note that we prioritise applications from current University of Kent redeployees. We will let you know if this post is to be filled by a redeployee as, in this instance, your application will unfortunately not be taken forward.
Applications must be made via the University’s online application system; CVs or details sent directly to the department or via email cannot be considered.
The University of Kent values diversity and promotes equality at all levels.
Due to the current COVID-19 outbreak, interviews may take place remotely.
SUPERVISORS: Prof. Dirk Schaefer, Dr Sepher Maleki (School of Engineering)
BACKGROUND: Today’s healthcare networks are plagued by high cost, varying levels of customer satisfaction, and the inability to respond effectively to short-term variations in operations and disruptions. In a different context, Industry 4.0 and digital manufacturing set out the concepts for how companies can achieve faster innovation and increase efficiencies across horizontal and vertically integrated value chains. However, in the domain of healthcare, which is still largely dependent on siloed, segregated information and processes, incorporating the paradigm of Industry 4.0 would allow to redefine efficient and effective future healthcare service provision, along with new business and strategic operational models based on digitization and virtualization.
AIM and SCOPE: The aim of this project is to investigate if lessons learned from digital manufacturing may be applied to the domain of healthcare to improve resilience through digitalization, digital twins, and data analytics. The project consists of five phases. (1) Background research and literature review, comparison of the manufacturing and healthcare systems domains. (2) Definition of resilience and metrics in the context of healthcare systems and in general and the NHS in particular. Analysis of past events and root causes that triggered bottlenecks and other disturbances that negatively impacted resilience. (3) Development of an agent-based model of one NHS subsystem of manageable complexity to study the impact of digitalization and data analytics on the resilience of this subsystem. (4) Development of a digital twin of this subsystem and its processes for data capture, visualization, and data analytics, including computational methods to identify and predict potential issues and propose interventions. (5) Test, verification and validation of the proof-of-concept system.
RESEARCH ENVIRONMENT: You will work within a vibrant and rapidly growing community of PhD students in the School of Engineering and have the opportunity to collaborate with a clinical advisor and colleagues from Computer Science, the Medical School, and other units across the College of Science.
FUNDING: This is a fully-funded studentship for three years, applicable to Home/EU/International applicants. It covers all fees and provides an annual stipend of £16,062 paid in monthly instalments.
REQUIRED SKILLS: A First or Upper Second Class honours degree in a relevant area. Candidates with background in Manufacturing, Systems Engineering, Data Analytics, etc. are strongly encouraged to apply. Excellent English language communication skills (IELTS score of 6.5 or above for non-native speakers) and the ability to work to deadlines are essential.
HOW TO APPLY: Please apply through the University of Lincoln’s online system apply here with a CV, covering letter, certified copies of degree certificates and transcripts, and a personal statement outlining your approach to the project and how your qualifications and experience meet the requirements, and contact details for at least two academic references. Shortlisted candidates will be contacted directly to arrange a suitable time for an interview. Applications are reviewed continuously until the position is filled. The anticipated start date is 1st October 2022 or earlier. Closing date: Monday 29th August 2022.
Loughborough is a research-intensive University. In the 2021 Research Assessment Exercise (REF), 86% of our Business and Management research was rated as ‘world leading’ or ‘internationally excellent’.
We are passionate about the research we do and have built a dynamic community that inspires talented researchers from around the world to explore questions that matter – both at the forefront of academic debate and in addressing the challenges faced by policy makers and the world of business.
Our goal is to guide you through that process of becoming a fully-fledged PhD graduate equipped for a wide range of rewarding professional careers.
In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. Find out more.
To move to going green not only requires the science but also the acceptance and demand from customers, which is influenced by the messaging, promotion, and support of critical public and private stakeholders.
To fully understand the complex landscape (political, commercial and consumer), the project will develop a system of systems of ontologies that can mine information from social media platforms, publicly available commercial documents and government websites and policy documents to build a real-time map of the drivers, inhibitors, perceptions and consumer influencers. The real-time analysis will provide semantic models of the landscape and have various lenses that will highlight the socio-technological change required e.g. the degree of uncertainty towards technologies and their use in everyday items like vehicles.
In turn, this will direct how future messaging, policy, and advertising needs to be engineered to respond to the existing ‘social’ landscape.
Primary supervisor: Professor Tom Jackson
Secondary supervisors: Professor Lisa Jackson, Professor Ian Hodgkinson
Applications are invited to undertake a four-year EPSRC-funded CDT PhD studentship at Loughborough University. The successful applicant will join the Centre of Doctoral Training (CDT) in Sustainable Hydrogen.
Candidates need to show in their application an ability equivalent to a 1st or 2:1 honours degree, or a postgraduate master’s with distinction in computer science, information management, or a related discipline.
Applications are welcomed from candidates who have taken a non-traditional route, for example those who may have spent time in industry and are looking to return to education.
Applicants must meet the minimum English language requirements. Further details are available on the International website.
How to apply:
All applications should be made online. Under programme name, select ‘Business School’. Please quote the advertised reference number: SBE22-TJ-SUSHY in your application.
To avoid delays in processing your application, please ensure that you submit the following documents:
A curriculum vitae
An 800 words personal statement explaining your interest in, and aptitude for, the topic of this research project, and the qualities you can bring to the project
Copies of your transcripts/certificates, English Language certificate
Two academic references on request
Call: +44 (0)7958 585313
Email: [email protected]
Additional Funding Information
The SusHy CDT studentship covers UK tuition fees and provides a tax-free stipend of £17,509 per annum. Studentship eligibility criteria are defined by the EPSRC. Due to funding restrictions, the studentship is only open to UK students.
The University is seeking a Lecturer within the School of Humanities.
The postholder will contribute to the delivery of an excellent student experience by contributing to the delivery of digital cultural heritage and/or collections-focused teaching, assessment, and administration processes associated with the MSc Museum Studies and MA Digital Media and Information Studies programmes.
You will support the Programme Convenor to provide timely student academic and pastoral guidance on the MSc Museum Studies Programme, organise student work placements, and undertake scholarship to enhance learning and teaching in the School of Humanities.
This post is on a part-time (17.5 hours per week), fixed term (36 months) basis.
For further information on the College of Arts, School of Humanities please visit www.gla.ac.uk/schools/humanities
For more information and to apply online: my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=089548
It is the University of Glasgow’s mission to foster an inclusive climate, which ensures equality in our working, learning, research and teaching environment.
We aim to reflect and celebrate in our workforce the diversity and global reach of our wider community. We also strongly endorse the principles of Athena SWAN, including a supportive and flexible working environment, with commitment from all levels of the organisation to promoting [inclusion, diversity and] gender equity. Applications are particularly welcome from women, ethnic minorities and other under-represented groups. In line with the commitments in the University of Glasgow’s Gaelic Language Plan, we also welcome and value skills in Gaelic language for anyone working within areas where key Gaelic services are delivered, in particular within the School of Humanities / Sgoil nan Daonnachdan and the College of Arts.
The University of Glasgow, charity number SC004401.
Salary: Grade 09. £42,149 to £50,296 per annum together with USS pension benefits
Contract: This is a fixed term position until 31st December 2025. Full-timeLocation: Singleton Campus
To deliver its sustainable top 30 ambition Swansea University needs a professional services workforce with the differentiated skills necessary to ensure that it can deliver excellence through efficient and effective systems and processes that harness innovations in technology.
DPUK is a founding partner in the newly launched Alzheimer’s Disease Data Initiative (ADDI) and its Alzheimer’s disease (AD) Workbench. The AD Workbench will facilitate interoperability across data platforms and enable researchers to work with multiple datasets. With a federated model of data sharing, the AD Workbench allows permitted researchers to import their datasets, access, and transfer data from other platforms. Swansea University has been instrumental in developing and testing federated analysis methodologies within trusted research environments.
The successful applicant will join the DPUK team and will contribute to activities to provide policy relevant insights into using dementia cohort data using federated methodologies; produce robust high quality analysis suitable for publication in academic journals; demonstrate the value of data harmonisation and data federation across a wide range of cohort data. The successful candidate will also take responsibility for ensuring research ready datasets are created and available on the ADWB workbench and work with the team to develop a successful federated analysis service for ADWB users.
The University is committed to supporting and promoting equality and diversity in all of its practices and activities. We aim to establish an inclusive environment and welcome diverse applications from the following protected characteristics: age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (including colour, nationality, ethnic and national origin), religion or belief, sex, sexual orientation.
We have an under-representation of men in the area of research and would particularly welcome applications from men for this position. We also have an under representation of individuals from ethnic minority backgrounds and would encourage applications from these groups. Appointments will always be made on merit.
To apply for the post please click on the link: Senior Research Officer and Data Scientist (swansea.ac.uk)
Applicants are asked to provide a completed online application providing evidence against the essential criteria in the recruitment documentation. Applicants should also attach to the application:
For further information please contact Professor Simon Thompson ([email protected]) or Emma Squires ([email protected]).
We are seeking a talented and enthusiastic full-time Research Assistant to work on large MRC-funded project on improving treatment strategies for children and adults with psoriatic arthritis.
The Research Assistant post is open from September 1st 2022 to 31st August 2023, with possibility of extension following a successful probationary period. You will be based on Oxford Road, Manchester, alongside a large multi-disciplinary team of researchers and support staff within the Centre for Epidemiology Versus Arthritis (https://www.cfe.manchester.ac.uk). Flexible and hybrid work arrangements are welcome.
The post will involve systematic reviewing of literature, supporting and leading data storage, transfer and analyses, working with patient contributors, and presenting work at national and international scientific meetings.
You should have an undergraduate degree in a numerate discipline with health focus, or including numerate modules (e.g. epidemiology/biostatistics/data science), and experience in literature reviewing. A Master’s degree in a numerate discipline with health focus is desirable.
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: Dr Stephanie Shoop-Worrall
Email: [email protected]
Email: [email protected]
This vacancy will close for applications at midnight on the closing date.
Further particulars including job description and person specification are available on the University of Manchester website – click on the ‘Apply’ button above to find out more
Departmental Research Technology Professional The appointment will be on UCL Grade 8.
There are two posts available within the Faculty IT & Partnering group in the Information Service Division at UCL: one post in the Geography Department and the other post in the Economics department. UCL Geography is one of the UK’s leading geography departments and researchers work on areas such as satellite observation, climate modelling, environmental change, AI and consumer data, with a wide range of computing needs. Research involves developing bespoke software, very large (TB) throughput processing, securely handling commercially and GDPR-sensitive data.
Research computing also underpins the department’s teaching portfolio, including an expanding range of Master’s programmes. UCL Economics has an estimated annual income from research grants of £1m, a replacement-teaching budget of over three quarters of a million pounds, a growing number of funded research studentships and a large annual budget allocation from the College. The department is increasingly using computationally intensive methods in both research and teaching. We expect this work to grow as we develop teaching and research in data science.
These roles involve close collaboration with UCL’s Advanced Research Computing (ARC) department to create consistent research computing environments across UCL and drawing on significant institutional expertise. This role provides a creative challenge for someone to scope out how to best maintain and develop the department research computing capabilities, working with agile development methodology to deliver continual improvement. If you have a preference to working in either the Geography or Economics department, please state this in your application.
It is essential for you to have proven working knowledge and experience of High-Performance Computing, Operating systems and their maintenance, directory & authentication technologies, and TCP/IP networking, including familiarity with common Internet protocols (e.g. HTTP, SMTP, LDAP, SFTP/SSH, etc.) and associated client software. It is expected that you hold an Undergraduate degree. This should normally be in a subject with a computational, quantitative, or data intensive component, or the candidate should show evidence of a subsequent formal qualification or professional experience in such a field.
We are operating hybrid working and you will have the opportunity to work remotely for up to 3 days a week if you wish.
If you have any queries regarding the vacancy or the application process, please contact Sanjay Karia at [email protected]
The UCL Ways of Working for professional services supports colleagues to be successful and happy at UCL through sharing expectations around how we work – please see www.ucl.ac.uk/ways-of-working to find out more.
Latest time for the submission of applications: 23:59.
Interview Date: TBC
We particularly welcome applications from black and minority ethnic candidates as they are under-represented within UCL at this level.