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Mathematics & Statistics – UK Jobs

Data Analyst

Mathematics & Statistics - UK Jobs

Location: Oxford Population Health (Nuffield Department of Population Health, Old Road Campus, Headington, Oxford)
Salary: Grade 7: £34,308 – £42,155 p.a.
Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. Oxford Population Health is home to the Clinical Trial Service Unit (CTSU), a major international research institute and is also a key partner is the new Oxford University Big Data Institute. 
This role will be within the Oxford Data Analyst team that helps support the UK Biobank study. The main responsibilities involve processing, managing and curating health-related data from a wide variety of sources into the UK Biobank resource. This includes using, adjusting and developing complex data pipelines, and validating and documenting the results.
To be considered for the Data Analyst role, you will need to have an MSc in a scientific or numerate subject, or to have equivalent experience, and to be proficient in writing code in a data manipulation language (i.e. R, SAS, Stata, Python). If your experience is not in R, you will need to demonstrate you can apply your knowledge to writing equivalent R code. You will also have working knowledge of SQL and experience using and processing large or complex datasets.
The position is full time (part time considered) and fixed term for three years. The closing date for applications is noon on 11th November 2022.
Contact Person: HR Assistant
Contact Phone: 01865 743631
Closing Date & Time: 11-Nov-2022 12:00
Pay Scale: STANDARD GRADE 7
Contact Email: [email protected]
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=160628

Policy and Research Analyst

Mathematics & Statistics - UK Jobs

2-Year fixed-term contract  
Full-time role and hybrid working with 1-2 days in our London office
The Health Foundation is an independent charity committed to bringing about better health and health care for people in the UK.
The Policy and Research Analyst will work as part of the Healthy Lives directorate to build our evidence base on trends in health and their determinants such as income, employment, and housing. You will have the opportunity to produce new research and analysis to identify the social and economic policy action required to improve health.
The Healthy Lives directorate consists of around 18 people working to ensure everyone in the UK has the same opportunity for a healthy life through action on the wider determinants of health. We have impact through building evidence, demonstrating what works and developing and influencing national and local policy.
Suitably qualified, or with equivalent experience, our ideal candidate will have experience of applying analysis and research skills to social and economic policy issues. They would also have experience of using statistical packages to analyse data and producing analytical outputs for a range of audiences.
This is a fantastic opportunity for someone wanting to address inequalities and create the conditions for a healthier life for all.  To find out more about the role and what we are looking for, please read the job description.
To apply for this role please submit your CV and a supporting statement which addresses all the person specification criteria flagged as Essential. Applications without a supporting statement will not be considered.
Application deadline: 23.59, Tuesday 1st November 2022
Interview date: Scheduled to take place remotely w/c 14th November 2022
The Health Foundation values diversity and champions inclusion and strongly encourages applications from all sections of the community.

Lecturers / Senior Lecturers/ Readers and/or Professors in Complex Systems, Gravitational Waves and Space Weather (Teaching & Research)

Mathematics & Statistics - UK Jobs

Queen Mary Lectureships and Senior Lectureships, Readership and Professorship positions in the Faculty of Science and Engineering in seven research areas.
Research areas and position references:
Artificial Intelligence, Machine Learning and Data Science. Ref: QMUL30635
Green Energy and Sustainable Engineering. Ref: QMUL30727
Genetics, Genomics and Fundamental Cell Biology. Ref: QMUL30728
Synthetic Biology and Biotechnology. Ref: QMUL30729
Bioengineering, Healthcare Robotics and MedTech. Ref: QMUL30730
Complex Systems, Gravitational Waves and Space Weather. Ref: QMUL30731
Cyber-security and Communication Systems. Ref: QMUL30732
About the Roles
We welcome applications for up to 25 Lectureship / Senior Lectureship positions and for up to 5 Readerships/Professorial positions, as part of a further round of major investment in the Faculty of Science and Engineering in the above strategic research areas.
Those appointed will be welcomed, supported, mentored and inspired as successful independent researchers within one of our five academic Schools: Biological and Behavioural Sciences (SBBS); Electronic Engineering and Computer Science (EECS); Engineering and Materials Science (SEMS); Mathematical Sciences (SMS); and Physical and Chemical Sciences (SPCS). Allocation to a host school will be based on alignment with research and teaching areas with the School.
For those joining at Reader/Professor level, we will support you in continuing to lead your own successful research team as well as wider leadership across the School and Faculty as appropriate.
At all levels of appointment, there will be significant opportunity to collaborate and develop your career with colleagues across the Faculty of Science and Engineering as well as with colleagues in the Faculties of Humanities and Social Sciences and Medicine and Dentistry.
Further information about the Faculty and the posts can be found at: https://www.qmul.ac.uk/strategic-hires-se/.
About You
Successful candidates will be at the appropriate academic level with a PhD and an impressive research track record, including applying for and winning external funding to support your research. Successful candidates will show the capability to support a successful research group, delivering high quality outputs, and research impact and providing a positive contribution to student education.
For applicants at Reader and Professorial level you should be internationally leading in your research field with an existing portfolio of appropriate grant funding and highest quality research outputs.
About Us
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.
Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
The Faculty of Science and Engineering is committed to excellence we are ambitious, collaborative, and welcoming. Our distinctive, curiosity-driven research is recognised all over the world and in the most recent Research Excellence Framework (REF 2021), Queen Mary was ranked joint 7th in the UK for the quality of our research with many of the Faculty units of assessment ranked in the top 10.
Our supportive and stimulating research environment attracts talent from across the world. The Faculty’s five schools host and support over 13,500 students, approximately 400 academic staff, and 1,000 research, technical, professional services, and other support staff.
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time), a season ticket loan scheme, relocation benefits, staff networks and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.
These posts will be primarily based at our Mile End Campus, but with the possibility of working at other campuses from time to time. They are full time permanent appointments (though part time roles and applications will be received positively). The posts can start from February 2023 onwards.
The starting salary for Lecturers is in the range of £44,931-£50,047 per annum and up to £60,592 for exceptional performance. For Senior Lecturers, the salary range is £58,949-£65,823 and for Readers up to £73,562 for exceptional performance, these salaries are inclusive of London Allowance. Professorial salaries are competitive, starting at a minimum of £73,500.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. Job share requests for this post will be considered, so please state this clearly on your application if appropriate. We are also open to considering applications from candidates wishing to work flexibly.
Application process
Candidate applications should consist of the completed online application form and an accompanying CV of no more than four A4 sides. Please visit https://www.qmul.ac.uk/strategic-hires-se/ for more information about the application process.
Informal enquiries should be addressed to [email protected]
To apply for the role, please click the ‘apply’ button.
The closing date for applications is 12 November 2022.
Interviews are expected to be held from late November through to 20 December 2022.
The University holds a Silver Athena SWAN award for advancing gender equality, is a Stonewall Diversity Champion and offers a number of development programmes including Springboard, Aurora and B-Mentor.
Valuing Diversity & Committed to Equality

Research Assistant/Research Associate – Health Data Scientist (Fixed Term)

Mathematics & Statistics - UK Jobs

Research Assistant: £27,929 – £32,348 
Research Associate: £34,308 – £42,155 
An exciting opportunity has arisen for a key analytical role in the Department of Public Health and Primary Care, University of Cambridge, funded by Cancer Research UK. A key responsibility of the post holder will be to utilise population-wide electronic health records to investigate the generalisability and transportability of models for the early detection and diagnosis of cancer. 
The post-holder will contribute to the development and application of statistical and machine learning approaches to adapt models for the early detection and diagnosis of cancer for clinical use in real world settings. The research will have translational and methodological impact.
The preferred candidate will have a PhD (or equivalent) in Health Data Informatics, Data Science, Computer Science, Mathematics, Statistics, Operational Research or other related quantitative subjects. Otherwise, if the candidate can demonstrate an outstanding fit to all the other criteria, a good Masters degree in one of the relevant fields will also be considered. They will have strong computational skills in at least one of R, Python, SQL or Pyspark; experience of working with electronic health records; and a good understanding of and experience in statistics and machine learning.
This position is full time and available immediately.
Location: University of Cambridge Heart and Lung Research Institute, Biomedical Campus, Papworth Road, Trumpington, Cambridge CB2 0BB (approx 2 miles south of city centre) with the possibility of hybrid working. 
The University is developing a hybrid working policy so we would welcome applications on a flexible or hybrid basis.
Informal enquiries can be made via email to Dr Samantha Ip ([email protected])
Applicants must have (or be close to obtaining) a PhD.
Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £30,497) moving to Research Associate (Grade 7) upon confirmation of your PhD award.
Fixed-term: The funds for this post are available until 1 January 2024 in the first instance.
To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/37553.
Closing date: 2 November 2022
Interview Date: week commencing 14 November 2022
Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
Please quote reference RH33649 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Flora Philp Fellowship

Mathematics & Statistics - UK Jobs

Closing date 24 November 2022, 5pm.
Fixed Term Contract 35 hours per week, fixed term for four years.         
We are looking for an early career postdoctoral researcher from a background currently under-represented in the School’s academic community, to develop their own independent research, in a supportive environment under the guidance of a mentor. The post is available either on a full-time or part-time basis.
The School of Mathematics is pleased to invite applications for the 2022 Flora Philip Fellowship. This four-year Fellowship specifically supports early-career, postdoctoral researchers from backgrounds that are under-represented in the School’s academic community (e.g. gender, minority ethnicity, disability, disadvantaged circumstances, etc.).  The Fellowship aims to provide a supportive and collegial environment for early-career researchers to develop their research and prepare themselves for future independent roles in academia and beyond. 
Flora Philip Fellowships honour the pioneering achievements of Flora Philip (1865-1943) who was the first female member of the Edinburgh Mathematical Society and one of the first women to graduate from the University of Edinburgh in 1893: (https://www.ed.ac.uk/alumni/services/notable-alumni/alumni-in-history/flora-philip)
We seek candidates from diverse backgrounds that can demonstrate the potential for independent research and a future academic career, in an area that aligns with the research themes within the School. The Fellow will be associated to one of our existing research themes and will be supported by an academic mentor, including support and mentorship to pursue follow-on applications for longer-term independent Fellowships.

Lecturer in Statistics and Data Analytics

Mathematics & Statistics - UK Jobs

Do you have an established background in teaching and research relating to statistics and data analytics? Do you want to play a key role in the successful management and development of advanced, complex multi-level databases for teaching and research? 
The School of Food Science and Nutrition (FSN) is currently undergoing a period of expansion, and we are looking for a Lecturer to enhance our teaching and research capabilities in data analytics. You will contribute to the teaching of statistics and data handling as well as controlling the creation, storage and maintenance of the School’s extensive data sets. You will work collaboratively with researchers to solve problems and develop new approaches to challenges within food science and nutrition research. As well as producing complex extracts and reports for internal and external use, you will also train and supervise students at both undergraduate and postgraduate level in statistics, data protection and data storage. 
As an experienced data handler, you will contribute to the development of grant proposals to research councils, paying particular attention to the creation of Data Management Plan statements. As well as developing new complex, inter-relational databases for the School’s studies and research, you will oversee the School’s existing databases and will use your extensive knowledge to incorporate new data sources into them. You will also take responsibility for operational planning within your own area, monitoring achievement against those plans and addressing any issues that arise, using your own initiative. 
You will have a degree in computing or a related numerate discipline with a substantial computing element, or relevant professional experience. As well as a proven ability to communicate technical information coherently and succinctly to a wide range of audiences, you will have an excellent and methodical attention to detail, and a proven track record of working independently with minimal supervision.
To explore the post further or for any queries you may have, please contact:
Professor Alan Mackie, Head of the School of Food Science and Nutrition
Tel: +44 (0)113 343 6946 | Email: [email protected]
Dr Charlotte Evans, Associate Professor 
Tel: +44 (0)113 343 3956 | Email: [email protected]
Location: Leeds – Main Campus
Faculty/Service: Faculty of Environment
School/Institute: School of Food Science & Nutrition
Category: Academic
Grade: Grade 7
Salary: £35,333 to £42,155 p.a.
Working Time: 100%
Post Type: Full Time
Contract Type: Ongoing
Release Date: Wednesday 12 October 2022
Closing Date: Wednesday 09 November 2022
Reference: ENVFS1057

Functional Skills Maths

Mathematics & Statistics - UK Jobs

Waltham International College is a provider of Higher and Further education for adults which aims to integrate the talents of its students with their visions and aspirations to support them in their success. 
A position has become available for a Functional Skills Maths Tutor at the London Campus for an enthusiastic and motivated individual. The postholder will be able to design, develop, and produce learning and teaching materials and deliver across the module, ensuring the efficient and effective delivery of teaching programmes in accordance with the College’s strategies, policies, procedures, and contribute to activities which influence leading-edge practise. 
Qualifications/Experience: 
Relevant subject-related Degree Desirable 
Relevant teaching qualification essential 
1-2 years teaching experience in a college environment essential 
Experience of teaching students on programmes from Pre-Entry to Level 2 
Knowledge of OFSED Regulations 
Benefits 
Staff Social Events, including sports and games nights 
28 days holiday Pro Rata 
Annual Salary Reviews 
Career Development Support 
Duties: 
To undertake the teaching of functional skills Maths and potentially other courses suited to the staff member for students, also including students with Mild/Moderate Learning Difficulties and Disabilities and Behaviour, Emotional and Social Difficulties (BESD). 
To contribute to the development of accredited and non-accredited courses for all students. 
To contribute to the review and refinement of department schemes of work. 
To coordinate/facilitate appropriate work placements for students from the department in liaison with the Work Placement Coordinator and Curriculum Leaders. 
To review courses and contribute to end of course evaluations, Self-Assessment Review, monitor, evaluate and records students’ progress to help them record their achievements 
To comply with all curriculum planning and quality assurance processes, including the monitoring and recording of students’ academic and personal progression 
To prepare lessons and teaching resources for course delivery 
To update and develop own knowledge, skills and understanding of subject and teaching skills 
Person Specification: 
Ability to communicate complex and conceptual ideas to those with limited knowledge as well as to peers using high level skills 
Act as a responsible team member, leading where required, and develop productive working relationships with other members of staff 
Identify and enthusiasm for the need for developing the content or structure of modules with colleagues and make proposals on how this should be achieved 
Exercise responsibility for the design and delivery of own modules and assessment methods taking into account established or agreed College or awarding Body practice where necessary 
Collaborate with colleagues on the implementation of assessment procedures 
Be able to prioritise own workload, able to work independently, and as a team. 
Excellent interpersonal and communication skills 
Analytical skills for effective planning and use of data 
Ability to work under pressure and to deadlines 
Ability to work on your own initiative and take responsibility for decision-making, where appropriate 
Knowledge and understanding of Safeguarding and Duty to Prevent. 
Experience of delivering Enterprise activities and initiatives 
Evidence of high success rates from teaching pre-entry to level 2 programmes 
Note: Job descriptions are not exhaustive and you may be required to undertake other duties of a similar level and responsibility. 
To apply, please send your CV with covering letter to [email protected]

Postdoctoral Research Associate in Data-Led Discovery of New Materials

Mathematics & Statistics - UK Jobs

We are seeking to recruit a postdoctoral researcher in data-driven materials discovery to work in a multidisciplinary project team to discover new functional materials. You will work with researchers in both computer science and chemistry. You should have a PhD in Computer Science, Physics, Chemistry, Materials Science, Engineering or Mathematics, as well as a strong publication track record and a demonstrated commitment to excellence. Excellent technical ability in applied data science such as programming and machine learning are essential. Expertise in solid state chemistry, materials science or condensed matter physics is desirable.
The post is available for 36 months.

For full details and to apply online, please visit: recruit.liverpool.ac.uk

Lecturer or Senior Lecturer in Computer Science (HCI)

Mathematics & Statistics - UK Jobs

Salary: 
Lecturer £37,474 – £40,931  per annum 
Senior Lecturer  £42,155 – £51,805 per annum
Closing date: 07 November 2022 
Interview date: 16 November 2022 
The School of Computing at the University of Portsmouth wishes to appoint a Lecturer/Senior Lecturer in the field of HCI. You will be involved in curriculum development, a wide range of teaching duties and contribute to the School’s research activities.
Our curriculum focuses on developing commercially-relevant skills (e.g. Requirement Analysis, Prototyping tools, Usability Methodologies Processes, Standards and Heuristics Evaluation) as well as the skills required to understand user needs, designing for them (User-Centred Design, Design Thinking, Interaction Design Principles, Agile/Scrum/etc), so that the systems they build are usable and fit for purpose, ensuring high employability in our graduates. As such, we are particularly keen to recruit applicants with subject expertise in User Experience Design and/or Human Computer Interaction
You will be joining a large diverse school with strong recruitment to a broad range of on-campus and distance-learning BCS accredited courses spanning the computing discipline. The School attracts students from a wide range of backgrounds and cultures both from within the UK and elsewhere in the world.  The School also has a strong and growing research profile, achieving a GPA of 2.81 in REF2014 and is currently running projects with a total value of over £2 million.
Your duties will include teaching at both undergraduate and postgraduate levels. You will also be asked to take on administrative and other management activities appropriate to the post, including assessment, student recruitment and module coordination. You will also be expected to keep your teaching up to date with recent developments in the field.
You should have attained a PhD or equivalent in a computer science or mathematical discipline and should, ideally, also have relevant industrial experience.
Informal enquiries can be made by telephone or email to Petronella Beukman (Head of School) Tel: 023 9284 6363, email: [email protected]
The University of Portsmouth believes this role may be eligible for sponsorship with UKVI under the Skilled Worker Route visa. Please familiarise yourself with the requirements set out before applying for this role. If you are unable to meet the requirements for sponsorship you will need to confirm details of an alternative visa to work in the UK when applying for this role.
We kindly ask that candidates do not send CVs or cover letters as these will not be considered.
Although the post is available as either a Lecturer or Senior Lecturer in Computer Science only one appointment will be made. Please note each post has a different person specification/ job description. You should also indicate in the ‘reasons for applying section’ whether you wish to be considered for the Lecturer or Senior Lecturer position.
We are strongly dedicated to embedding equality, diversity and inclusion (EDI) within our community. As an Athena SWAN and Race Equality Charter award holder, a member of Stonewall and a Disability Confident Employer we are passionate about creating a welcoming and inclusive environment, regardless of your background. We welcome applications from all talented people. In addition, we want our workforce to be representative of our diverse student population. Please see our EDI Framework and objectives.
Information about us and our benefits.
For detailed information about the vacancy: ZZ004889-1 – Lecturer or Senior Lecturer in Computer Science (HCI).docx

Research Associate in Algebraic Geometry and Representation Theory

Mathematics & Statistics - UK Jobs

SOC Code – Visa Requirements: 2119
Interview Date: Thursday 10 November 2022
The Department of Mathematical Sciences is looking to appoint a Research Associate to undertake research into algebraic geometry and representation theory with Prof. A. Craw (Principal Applicant) and other members of the project ‘Cox rings and quiver moduli spaces’ funded by the Leverhulme Trust.
You will contribute to an ambitious and coherent research programme that aims to further our understanding of many quiver moduli spaces, including Nakajima quiver varieties and moduli of McKay quiver representations. This programme will touch on birational geometry, representation theory and invariant theory, and there will be an important computational aspect to the project. You will be expected to disseminate the results in leading academic journals and conferences. You will also be encouraged to teach one full lecture course during your time in Bath.
You must have (or soon obtain) a PhD or equivalent qualification in Mathematics or Physics and demonstrable experience of research in birational geometry, quiver moduli spaces, representation theory, or a related topic. You will be a highly motivated individual who will contribute well to the research project itself and to the department as a whole. The position carries an additional £3,000/year to fund travel and accommodation expenses that are incurred in attending conferences and research visits. Experience in using computer software to tackle research problems is highly desirable.
This is a fixed-term contract for a period of up to 24 months, beginning in March 2023.
For further information and an informal discussion about the role please contact Professor Alastair Craw ([email protected]), however, please submit your application via the University website including:
an up-to-date curriculum vitae;
a one-page research statement describing your research interests, as well as your experience in the research areas relevant to the position.
As a member of the project team, you will join the research group in Algebra, Geometry and Number Theory in the Department of Mathematical Sciences. The group includes more than a dozen academics and a similar number of PhD students, with expertise in algebraic geometry, differential geometry, representation theory, number theory and group theory.
The Department itself has over 70 academic staff representing all areas of Mathematics. Our Department emphasises the unity of Mathematics and there are strong interactions between research groups. This interaction is supported by the Centre for Doctoral Training in Statistical Applied Mathematics at Bath (SAMBa), which currently employs over 70 PhD students, with an annual intake of 10-20 research students. The Department is committed to providing a supportive research environment, aiming to bring about positive cultural change in diversifying recruitment of early-career academics.

Postdoctoral Fellow – SYNTERRA Project

Mathematics & Statistics - UK Jobs

Contract Duration-Length of Time (years/months): 2 years
Advertised Grade-Grading: Postdoc Stipend 
About the team/job
EMBL Barcelona is seeking postdoctoral researchers to work on computational modelling of dryland soil ecosystems, especially in relation to mesocosm experiments. The project SYNTERRA is closely co-supervised with our collaborator Ricard Sole, at the Pompeu Fabra University (UPF). 
The project aims to develop theoretical and computational models of these ecosystems – in particular aiming to address the design and effects of synthetic biology-based interventions to mitigate the impacts of desertification caused by global warming. The research will require a multi-scale approach to ecosystem organization with particular emphasis on understanding the impact of modified strains in both soil microbiome dynamics and vegetation cover patterns in space and time. The project will benefit from both ongoing designs of microcosm and mesocosm facilities at EMBL and massive available data sets from drylands. The latter include diverse kinds of information, from co-occurrence microbial networks to remote sensing maps. Modelling efforts should help to address the analysis of these experimental designs, the definition of microbiome-related warning signals and the scalability of the terraformation strategies.
Your role
To develop new mathematical and computational models of soil ecosystems, integrating both knowledge from the literature, and quantitative data from our collaborators.
To participate in the design of microcosms, and experiments to test model predictions.
You have
Experience in complex systems, systems biology, ecological modelling.
High competence in programming and computer science.
Familiarity with network science approaches.
Fluent English.
You might also have
Familiarity with synthetic biology.
Experience and skills in design and fabrication of devices.
Why join us
EMBL offers a highly collaborative and uniquely international working environment. We foster top quality, interdisciplinary research and expect that this individual will bridge research groups across EMBL Barcelona and our collaborators across Europe and in the US.
EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organization with a very collegial and family friendly working environment. EMBL is committed to internationality, diversity and equality, and as such encourages applications from underrepresented groups.
What else do I need to know
We are Europe’s flagship research laboratory for the life sciences – an intergovernmental organisation performing scientific research in disciplines including molecular biology, physics, chemistry and computer science. We are an international, innovative and interdisciplinary laboratory with more than 1900 employees from many nations, operating across six sites, in Heidelberg (HQ), Barcelona, Hinxton near Cambridge, Hamburg, Grenoble and Rome.
Further information about research at EMBL Barcelona can be found at www.embl.es.
EMBL is a signatory of DORA. Find out how we implement best practices in research assessment in our recruitment processes here.
There are 2 positions available.

Research Associate in Quantum Chromodynamics (Fixed Term)

Mathematics & Statistics - UK Jobs

The Department of Applied Mathematics and Theoretical Physics (DAMTP) invites applications for the position of Post-Doctoral Research Associate funded by an ERSRS/STFC grant to work on investigating new quantum algorithms for problems in quantum field theories with future applications to Quantum Chromodynamics (QCD).
You will work with Dr Sergii Strelchuk who is a Royal Society University Research Fellow, DAMTP at the Centre for Quantum Information and Foundations (CQIF), University of Cambridge and you will also collaborate with Dr Bipasha Chakraborty from the Southampton High Energy Physics Group.
The first part of the project aims to study the structure of computational problems that arise in the context of lattice QCD and their potential for quantum speedups. The second part of the project will investigate bespoke quantum simulation techniques for quantum field theories with an aim to extend them to QCD. 
This is a collaborative project between CQIF at the University of Cambridge and Southampton High Energy Physics Group. Relevant research interests of the CQIF group include quantum algorithms, quantum computing and simulation of quantum systems. The other research interests of the Southampton High Energy Physics group include: lattice QCD, physics beyond the standard model, particle physics and cosmology, neutrino physics, b-quark and kaon phenomenology, exact renormalization group, extra-dimensional models of the weak interactions, weak interaction corrections at high energies, twistor methods, holography, strings and branes, and high density QCD.
Applicants will have, or be soon to complete, a PhD (or equivalent professional qualification and experience) in mathematics/theoretical physics/computer science/computational science, and experience in quantum field theories and/or high energy physics. They will also have a good understanding of quantum algorithms and an interest in learning and applying new quantum algorithmic techniques.
Experience in lattice QCD computations or numerical simulations of quantum field theories is desired. You will contribute to the ongoing projects in quantum computation and develop new ones, disseminate results via publications and conference talks, and actively participate in the academic life of the group, which also includes assisting PhD students.
Fixed-term: The funds for this post are available for 20 months in the first instance.
Informal inquiries can be made by contacting Dr Sergii Strelchuk [email protected] or [email protected] 
You will need to upload full curriculum vitae, list of publications, and a description of your recent and future research projects (not to exceed three pages). The contact details of two academic referees will be required; please ensure that your referees are aware that they will be contacted by the Mathematics HR Office Administrator to request that they upload a reference for you to our Web Recruitment System; and please encourage them to do so promptly.
Please quote reference LE33562 on your application and in any correspondence about this vacancy.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Sarah Kemp
DAMTP/DPMMS HR Office Administrator & Assistant to DAMTP Business Operations Manager Working Hours: Monday to Thursday 9.30am – 2.30pm, Friday 9.30am – 12.30pm
Room B.1.31, Centre for Mathematical Sciences Wilberforce Road, Cambridge, CB3 0WA

December 2022
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