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Mathematics & Statistics – UK Jobs

Numerical study of conjugate heat transfer in leakage flows of rotating machinery

Mathematics & Statistics - UK Jobs

PhD Studentship
Location: London
Salary: 17.500 per annum
Hours: full time
Founded in 1894, City, University of London is a global university committed to academic excellence with a focus on business and the professions and an enviable central London location.
City attracts around 20,000 students (over 40% at postgraduate level), from more than 150 countries and staff from over 75 countries.
In the last decade City has almost tripled the proportion of its total academic staff producing world-leading or internationally excellent research. During this period City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realising its vision of being a leading global university.
Background
This PhD studentship is offered under the Howden/Royal Academy Research Chair in Compressor Technology in the School of Mathematics, Computer Science & Engineering. It is sponsored by Royal Academy of Engineering and Howden Compressors as a part of large project named “Smart Efficient Compression: Reliability and Energy targets (SECRET)”
The PhD project, entitled “Numerical study of conjugate heat transfer in leakage flows of rotating machinery”, is focused on the design, implementation and evaluation of high fidelity numerical methodology for analysis of conjugate heat transfer in clearance gaps of rotating machinery and enable full understanding of the complex physics of these leakage flows.
Responsibilities
The PhD student will work closely with the world leading experts in modeling of rotating machinery under the Chair. The objective is to develop accurate, reliable and robust methods for modelling of fluid-solid interaction in rotating positive displacement machines and validate these methods with the experimental results obtained in the state-of-the-art laboratory within the Centre for Compressor Technology and the Thermo-Fluids Research Centre at City using PLIF, PIV and infrared thermography. In the second part of the project the student will utilize such methods for evaluating concepts for improving efficiency and reliability of oil-free rotating positive displacement machines.
Person Specification
It is expected that the candidate has a good mathematical background, excellent knowledge of thermodynamics and fluid mechanics, has a good skills in using programming languages link C#, Fortran or Python and has previous knowledge and experience in CFD. The candidate will be working closely with other participants in the project from City and Howden and is expected to have a positive attitude to team work, ability to work proactively and independently and has motivation to learn and contribute to this project.
The project will fully fund 3 years of a PhD student including scholarship for international student in the amount of £18,000 p.a. and bursary in the amount of £ 17,208 p.a.
Further information is available here.
For further information about the post please contact [email protected]
Applications, consisting of a CV and a Personal Statement, should be sent by email to [email protected]
Closing date for applications: 17:00 on 10th July 2022.

Graduate Research Assistant or Postdoctoral Research Assistant/Fellow

Mathematics & Statistics - UK Jobs

Faculty of Environment, Science and Economy
This full-time post is available, on a fixed term basis, from  1st September 2022 to 30th August 2024, subject to the annual funding reactivation applied to awards funded by the JDRF. This role offers the opportunity for hybrid working – some time on campus and some from home.
The post
We are seeking to appoint an enthusiastic Research Associate/Postdoctoral Research Assistant or Fellow to participate in the project “Clinical and Economic Optimisation Platform for Type 1 Diabetes Screening” which is funded by the JDRF, a global organisation funding type 1 diabetes (T1D) research. It is a collaborative project led by the University of Colorado, and which includes a team at the University of Exeter.
The project’s overall aim is to develop a comprehensive, user-friendly, and publicly available clinical and economic T1D screening platform to inform global public health adoption and therapeutic investment decisions. Identifying people at risk of developing type 1 diabetes can help avoid life-threatening complications. Without early identification the consequences are severe, including considerable cost and health consequences for patients and families.
About you
GRA role: The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies. Applicants will be educated to first degree level or possess an equivalent qualification/experience in a related field of study or equivalent experience and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes.
PDRA/PDRF role: The successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD, or nearing completion (or equivalent qualification/experience in a related field of study. The successful applicant will be a nationally recognised authority in modelling and/optimisation and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required.
Applicants will be able to develop and calibrate/optimise prediction models, engineer software tools and collaborate effectively with an interdisciplinary and international team of researchers.
Please ensure you read the Job Description and Person Specification for full details of this role by clicking on the attachment.
For details of what we offer our staff, please visit: Benefits | Prospective Staff | University of Exeter
The University of Exeter
We are a member of the prestigious Russell Group of research-intensive universities and in the top 150 universities in the world (Times Higher Education World University Rankings 2022 and QS World University Ranking 2022). We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2017.
Our Equality, Diversity and Inclusion Commitment
With over 27,000 students and 6,400 staff from 180 different countries we offer a diverse and engaging environment where our diversity is celebrated and valued as a major strength.
For further information please contact Prof. Jonathan Fieldsend and Prof. Richard Oram, e-mail [email protected] and [email protected] or telephone (01392) 722090 or (01392) 406819.

Hourly Paid Lecturer – Functional Skills and GCSE English

Mathematics & Statistics - UK Jobs

We are seeking to recruit part time sessional English Lecturer(s) to join our Functional Skills team, teaching Functional Skills at all levels, mainly out in the Community to part time adult students and GCSE English, predominantly at our Blossomfield Campus for 16-18 students, All courses will start in September 2022. Qualified to Degree Level in English, or a related subject, you will be passionate about your subject and possess innovative approaches to teaching and learning with experience of teaching or training. Ideally you will have a proven track record in delivering Functional Skills and 9-1 GCSE programmes and possess a Level 5 teaching qualification or be willing to work towards one. Solihull College & University Centre is committed to ensuring a safe environment for all students and expects all staff to engage fully with this commitment.
 Closing date: Wednesday 6th July 2022

PhD studentship in Operations Research

Mathematics & Statistics - UK Jobs

Following substantial recent investment in the Mathematical Sciences at Lancaster University, we invite applications for a fully funded PhD studentship in Operations Research for entry in October 2022, to be supervised by Dr. Xishu Li.
Research project
The studentship will be to work on a project related to one of the followings:
Flexible and Effective Contracting in the Gig Economy
Trust and Fairness in the Sharing Economy
Community-Based Sharing Models for Private Goods and Services
In these projects, we answer questions such as what drives trust and fairness on each side of the sharing economy, how to maintain a sustainable labor supply in the gig economy through contracting, and how to enhance social welfare and reduce over-consumption through a community-based sharing model. Research methods could be Markov decision process, stochastic programming, game theory, behavioural experiments and simulation.
However applicants are welcome to propose other projects within the research interests of the supervisor
Entry Requirements
Applicants are expected to have, or shortly to be awarded, a minimum of an upper-second class honours degree, or its equivalent, in Mathematics, Statistics or a related field, relevant to the research areas outlined above. Preferably applicants will hold, or be expected to achieve, a first-class honours degree in MSci or MMath Mathematics, a distinction in MSc Statistics or MSc Operational Research, or an equivalent qualification. Those who have excelled, or are excelling, at BSc level will also be considered positively.
Funding eligibility
These studentships cover up to four years of full payment of tuition fees at the Home (UK) level plus an annual stipend for living expenses. Regrettably non-UK applicants are not eligible for this funding.
Application process
All applications received before 1200 on Friday 3rd June 2022 will be considered equally. Applications received after that time will be assessed on a rolling basis. Guidelines on the application process may be found at the following URL.
https://www.lancaster.ac.uk/study/postgraduate/how-to-apply/#applying-for-postgraduate-research-courses
Commitment to Equality, Diversity and Inclusion
We are committed to family-friendly and flexible working policies, and seek to promote a healthy work-life balance. The University is a charter member of Athena SWAN and has held a Bronze award since 2008, in recognition of good employment practice to address gender equality in higher education and research. The Department achieved its own Athena SWAN Bronze award in 2017 and is a registered supporter of the London Mathematical Society’s Good Practice Scheme. We welcome applications from people in all diversity groups.
Contact
Those interested are encouraged to discuss their application with Dr. Xishu Li ([email protected]

Research Associate, Privacy and Security

Mathematics & Statistics - UK Jobs

Closing date: SUNDAY 24 JULY 2022 at 23:59
The Alan Turing Institute
The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence whose mission is to make great leaps in data science and artificial intelligence research in order to change the world for the better.
ROLE PURPOSE
You will work in partnership with our industry partner HSBC and contribute to work in the Privacy and Security research theme within FAIR. The successful applicant will explore the use of Privacy Enhancing Technologies (PETs) in the context of the Financial Services industry. PETs are becoming increasingly developed and deployed in a range of sectors to protect the privacy of personal information.
The aim of this work is to consider the applicability of PETs across the finance ecosystem and develop fundamental advances that are practicable in such cases. This addresses a key research objective of FAIR which is to develop privacy and security methods that provide safeguards against new risks in AI-driven financial service applications. 
DUTIES AND RESPONSIBILITIES
Develop techniques for secure and private data sharing such as:Differential Privacy
Secure Multiparty Computation and Secure Aggregation
Federated learning and analytics
Homomorphic Encryption
Combinations of the above

Develop and apply metrics for evaluating the efficacy and privacy of data sharing across multiple use cases
Person Specification 
Research Associate level: PhD in Mathematics, Computer Science or a closely related discipline.
Research Assistant level: Near completion of a PhD or equivalent level of professional qualification in Mathematics, Computer Science or closely related discipline.
A background in one or more of the following: Differential Privacy, Secure Multiparty Computation, Federated learning and analytics or Homomorphic Encryption
Sufficient knowledge of development and analysis of PETs 
Please see our portal for a full breakdown of the Job Description. 
Terms and Conditions 
This full-time post is on a 3-year fixed-term basis, with the option to extend for a further 1-year term subject to a review at the end of year three. The annual salary is £37,000-£42,000 (depending on experience) plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits 
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant at a salary of £36,236 per annum 
The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter. From 01 March 2022 we will trial a Hybrid Working Model for an initial six-month trial period. During this period, staff will be expected to work at our British Library office for a number of days per month, dependent on the requirements of the role. As a guide, we anticipate this will be between 2-4 days per month, but the hiring manager will be able to confirm this during the interview.
Application procedure
Please see our jobs portal for full details on how to apply and the interview process. 
Equality Diversity and Inclusion
The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly.  In accordance with the Equality Act, we welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation.  Reasonable adjustments to the interview process can also be made for any candidates with a disability.

Primary Science Lead – Centre for STEM Education

Mathematics & Statistics - UK Jobs

FTE: 0.4 FTE (working 14.8 hours per week)
Duration of Contract: Fixed term or secondment basis until August 31 2023
Salary: UH8 £40,927 pa pro rata with potential to progress to £51,799 pa pro rata on achieving designated skills and experience
Location: De Havilland Campus, Hatfield
The Centre for STEM Education sits within the School of Social Sciences, Humanities and Education. If offers programmes of continuing professional development (CPD) for school and college STEM educators – particularly in science, computing and STEM. The Centre contributes to national initiatives through partnerships with Herts and Essex SLP and the Saffron Walden County High School computing hub, as well as coordinating the UK delivery of the Amgen Biotech Experience programme of CPD for secondary school and college science teachers and technicians.
Main duties and responsibilities
The primary science lead will contribute to the development and delivery of programmes of science and STEM CPD including liaising with stakeholders; establishing and supporting primary and EYFS practitioner networks; encouraging participation in Centre programmes; identifying local needs; planning, facilitating and monitoring feedback on CPD; and building capacity for local CPD delivery.
Skill and experience required
The successful candidate will have substantial, successful experience of teaching science in a school context and of facilitating science CPD for educators from primary school settings. Strong understanding of the science and wider curriculum will have been applied to promote high quality learning and teaching in or across primary schools. Excellent communication and organisational skills and the ability to prioritise and progress varied workstreams are important, as is the ability to work flexibly, both collaboratively and independently.
Qualifications required
Educated with a degree or equivalent level qualification. Postgraduate qualification in relevant education or STEM subject and STEM learning associate facilitator CPD quality mark is desirable.
Please view the job description and person specification for a full list of the duties and essential criteria.
Contact Details/Informal Enquiries: Sue Sissling Centre Director [email protected] 
Interview Date: TBC 
Our vision is to transform lives and UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics, and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships, personal and professional development and family-friendly policies. #GoHerts

Postdoctoral Researcher in Cognitive Neuroscience

Mathematics & Statistics - UK Jobs

Location: Warneford Hospital (Psychiatry)/Tinsley Building, Mansfield Road, Oxford (Experimental Psychology)
Salary: Grade 7: £33,309- £37,647 p.a.
We are looking to appoint a postdoctoral researcher to the laboratory of Dr Miriam Klein-Flugge on her Sir Henry Dale/Royal Society Fellowship funded study of limbic-prefrontal brain circuits in motivation and decision-making. The post is based in the Department of Psychiatry at the Warneford Hospital and the Tinsley Building, Mansfield Road Oxford.
The post is for a fixed term (funded for two years from 1 October 2022) with the possibility to extend it for a third year.
You will collaborate with other researchers in designing behavioural tasks and neuroimaging experiments for investigating the neural mechanisms underlying emotion, interoception, motivation and decision making. You will use fMRI and ultrasound neurostimulation techniques and will need to show some independence in conducting your work. You will be part of a thriving community of researchers working in related subject areas.  
You will have or be close to the completion of a PhD in Neuroscience, Psychology or a closely related discipline. With in-depth knowledge of cognitive neuroscience and computational psychiatry including motivation, learning and decision making, you will have strong quantitative and programming skills along with a track record of designing drug studies in healthy participants and of using computer programs to design experimental paradigms, analyse data and conduct computational simulations and/or advanced statistical analysis. Familiarity with neuromodulation techniques would be an advantage.
You will be required to upload a supporting statement, a CV, and details of two referees as part of your online application.
The closing date for this post 12.00 midday on 11th July 2022
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=158356

Lecturer in Statistics

Mathematics & Statistics - UK Jobs

The University of St Andrews is seeking to enhance its strengths in statistics by appointing three new Lecturers. We are looking for scholars with outstanding potential and hence we are advertising flexibly across two roles, Lecturer in Statistics (Education Focused) or Lecturer in Statistics (Education and Research).
*Applications from candidates who wish to apply for Associate Lecturer (Education Focused) at Grade 6 (salary £34,304-£40,927) may also be considered, and if appointed the job description would be adapted accordingly.
** 3years fixed-term post: cover for research leave. the post will cease to exist upon the return of the substantive post holder.
***  In accordance with the new immigration rules, it is with regret that  applying for this role on a part-time basis does not meet the current suitability requirements set by the UKVI to enable sponsorship of migrant workers. 
Successful candidates for the Education Focused role will be inspirational teachers in statistics committed to delivering and enhancing our highly-rated programme of teaching at undergraduate and taught postgraduate level and will have experience in curriculum development.
Successful candidates for the Education and Research role will have a strong and growing international research reputation and commitment to delivering high quality teaching. We welcome applications from across the broad spectrum of statistics, and particularly from candidates whose research could link with existing research strengths in St Andrews, including ecological and environmental statistics, medical statistics, and statistical ‘omics’. We are especially keen to appoint candidates with strength in statistical methodology and candidates with interests in the integration of machine learning methods and statistical inference methods.
For all roles, we welcome applications from candidates who hold a PhD in statistics or a closely related discipline. Candidates should have teaching experience at undergraduate or postgraduate level, have experience applying relevant analytical skills and teaching techniques to a wide range of learners, have good communication and teamwork skills, and share our desire to educate and inform students.
For informal enquiries, contact the Head of School, Professor Mark Chaplain ([email protected]), co-Head of the Statistics Division, Professor Len Thomas ([email protected]), or the Deputy Head of School, Dr Antonia Wilmot-Smith ([email protected]).
We are fully committed to equality and diversity in our recruitment and employment policies. We operate family-friendly hours for core meetings and are happy to discuss flexible working arrangements for staff.
Applications are particularly welcome from women, people from the Black, Asian, Minority or Ethnic (BAME) community and other protected characteristics who are underrepresented in Academic posts at the University.
Equality, diversity and inclusion are at the heart of the St Andrews experience. We strive to create a fair and inclusive culture demonstrated through our commitment to diversity awards (Athena Swan, Carer Positive, LGBT Charter, Race Charters and Stonewall). We celebrate diversity by promoting profiles of BAME, LGBTIQ+ staff and supporting networks including the Staff BAME Network; Staff with Disabilities Network; Staff LGBTIQ+ Network; and the Staff Parents & Carers Network. Full details available online: https://www.st-andrews.ac.uk/hr/edi/.
Closing Date: 11 August 2022                         Interview Date: 12 September 2022
We encourage applicants to apply online at www.vacancies.st-andrews.ac.uk/welcome.aspx, however if you are unable to do this, please call +44 (0)1334 462571 for an application pack. 
Please quote ref:     AC2285RGB                    
The University of St Andrews is a charity registered in Scotland (No SC013532).

Doctoral Positions in Mathematics

Mathematics & Statistics - UK Jobs

Applications are invited for 12 doctoral positions within the PhD Program in Mathematics jointly among the Universities of Ferrara, Modena e Reggio-Emilia, and Parma, starting
November 1, 2022.
The program will provide doctoral researchers with a high-quality education in the fields of pure and applied mathematics, and their interactions with computer science. Carefully selected research projects will introduce doctoral researchers to relevant and challenging topics at the forefront of current mathematical research.
In addition to 9 fellowships with research theme open to all fields of mathematics, 3 thematic fellowships are available, two of which funded by the Ministry of Economy and Finance (RRP) at the University of Ferrara in the area of artificial intelligence and machine learning:
Physics-informed neural networks with applications to socio-epidemiological dynamics
Artificial intelligence and e-health techniques applied to proprietary platforms for aid and assistance in telemedicine
and a third one funded by EU (ERC advanced grant) at the University of Modena and Reggio-Emilia:
Dynamic causal modeling of brain activity to uncover specific neurophenotypes of dementia associated with anosognosia and delusions
Employment will be for three years. Applications must be submitted by
July 25, 2022 at 12.00 (italian time)
Your profile
We are looking for highly motivated, excellent candidates with strong mathematical skills and interest in pure and applied mathematics, and computer science. Applicants must hold a master’s or equivalent degree in mathematics, computer science or a related field.
Your responsibilities
Doctoral researchers will work on a theoretical or applied research project, participate in the activities of the PhD program by attending some of the curses offered, and pursue a doctoral degree. Applications must be written in English or Italian at the following link
http://www.unife.it/studenti/dottorato/concorsi/ordinario (italian version)
http://www.unife.it/studenti/dottorato/it/concorsi/selection (english version)
For further information, please click Apply.

Research Fellow in Prostate Cancer Proteomics – AR2703SB

Mathematics & Statistics - UK Jobs

Start date: as soon as possible.Fixed term: 2 years
Applications are sought for a Post-doctoral Research Fellow to work with Professor Andy Lynch to further our understanding of prostate cancer through the analysis and design of proteomic experiments.
The CRUK-funded Prostate International Cancer Genome Consortium (ICGC) project has, over a number of phases, determined the molecular profiles of >200 prostate cancers at the levels of DNA sequence, DNA methylation, mRNA and small RNA which have been and are being integrated with clinical and pathology data, as well as external data, to answer questions about cancer risk, cancer biology and the clinical management of cancer. We have, through this project and via additional sources generated protein pellets and proteomic data from multiple mass-spectrometry technologies. In recent years, this has formed part of the Panprostate Cancer Group (PPCG).
This post is to take forward the analysis of the proteomic data already generated to improve our understanding of prostate cancer, and to consider aspects of experimental design to plan future data generation. Additionally, we will integrate these data with the additional molecular data generated from these patients, and with cohorts from colleagues in the PPCG. The post-holder will be responsible for preparing manuscripts arising from their research, and also contributing to other manuscripts arising from the research consortia of which we are part.
The post holder will be able to take advantage of links with the School of Medicine and take part in programs for professional development.
The successful applicant will have (or be near to completion of) a PhD in Statistics/Bioinformatics/Computational Biology or similar with expertise in analysing large molecular datasets in a disease context.
The post is available for 24 months starting Autumn 2022 or as soon as possible thereafter.
Further details of the project can be found by contacting Andy Lynch ([email protected]).
Applications are particularly welcome from women, people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented in research posts at the University.
Equality, diversity and inclusion are at the heart of the St Andrews experience. We strive to create a fair and inclusive culture demonstrated through our commitment to diversity awards (Athena Swan, Carer Positive, LGBT Charter, Race Charters and Stonewall). We celebrate diversity by promoting profiles of BAME, LGBTIQ+ staff and supporting networks including the Staff BAME Network; Staff with Disabilities Network; Staff LGBTIQ+ Network; and the Staff Parents & Carers Network. Full details available online: https://www.st-andrews.ac.uk/hr/edi/.
Closing Date: 8 August 2022
Interview Date: TBC
Please quote ref: AR2703SB
Further Particulars: AR2703SB FPs.doc

Senior Research Fellow

Mathematics & Statistics - UK Jobs

Band 7 £40,057 – £45,839 Per Annum
37.5 Hours Per Week             
Fixed Term 2 Years
Born in Bradford have an exciting opportunity for a Senior Research Fellow to come and work with us in our ground breaking interventional research centre – the Better Start Bradford Innovation Hub.
The post holder will be a key member of the BSBIH, hosted by Born in Bradford.  Born in Bradford is an internationally acclaimed applied research programme that aims to achieve a healthier, fairer future for children living in the vibrant, ethnically diverse but deprived city of Bradford. It hosts three birth cohort studies including the world’s first interventional birth cohort – Born in Bradford’s Better Start (BiBBS).
This is a unique opportunity to be part of an initiative which aims to improve the life chances of children living in deprived and ethnically diverse areas of Bradford city.  Funded by the National Lottery Community Fund, Better Start Bradford  aims to help children in three wards of the city, Little Horton, Bowling and Barkerend, and Bradford Moor, to get the best start in life. They provide multiple projects for pregnant women and families with children aged 0-3 years.
The Better Start Bradford Innovation Hubleads on the evaluations of these projects to find out how best to improve the social and emotional development, communication and language development, and health and nutrition of young children. A key element of this work is the BiBBS cohort which links research, routine health and education data, and intervention participation to evaluate the impact of these interventions.
The post holder will work under the supervision and mentorship of Dr Josie Dickerson, Research Director, and will have support from the data analytics, epi-stats and quasi-experimental methods groups within Born in Bradford, as well as academics based at the Universities of York, Leeds and Sheffield.  They will have expertise in dealing with big data (including cleaning and linkage using programming tools), and a track record of conducting advanced quantitative statistical methods to answer applied health research questions.  They will also have an approachable manner, and experience of working with NHS, local authority or community services is desirable.
For informal enquires please contact Dr Josie Dickerson, Research Director, Innovation Hub
Email: [email protected]
We can offer staff gymnasiums on both hospital sites, excellent pension scheme and advice on childcare
Closing Date: 17.07.22 (This date may change dependent on the response)
Interview Date: 25.07.22
Born in Bradford is a registered charity (no. 1061753). This post is funded by the National Lottery through the Community Fund.

Apply on-line at: www.jobs.nhs.uk/in/btht quoting post ref 389-A-22-59905

Teaching Associate in Statistics (460161)

Mathematics & Statistics - UK Jobs

Faculty of Science
FTE: 1 (35 hours/week)

The Department of Mathematics and Statistics is a vibrant department which has strong research expertise in Applied Analysis, Continuum Mechanics and Industrial Mathematics, Numerical Analysis, Marine Population Modelling, Mathematical Biology, Epidemiology and Statistical Informatics, Applied Statistics and Stochastic Analysis. We have a distinguished track record of conducting high quality research in mathematics and statistics applied to a wide range of real world problems. The Department has also developed distinctive teaching modules for our own degree programmes, as well as for scientists and engineers across the University, at both undergraduate and postgraduate level. We also run a number of fully online postgraduate programmes in Statistics, including a Degree Apprenticeship in Medical Statistics.
The Department of Mathematics and Statistics seeks to appoint a Teaching Associate who will be an experienced teacher. The postholder will teach on our undergraduate and postgraduate modules as required; supervise final year dissertations; lead tutorials and computer labs; and contribute to the marking and assessment of modules at all levels. Key aspects of the role will involve leading online modules which form part of our fully online programmes and contributing to the supervision of MSc projects.
To be considered for the role, you will hold a good Honours degree and/or PhD in Statistics or relevant experience/training. You will have sufficient breadth or depth of knowledge in statistics to deliver established teaching programmes at undergraduate and postgraduate levels and to contribute to course development and scholarship activities. You will have excellent interpersonal and communication skills, with the ability to listen, engage and persuade, and to present complex information in an accessible way to a range of audiences. You will also have an ability to plan and prioritise your own workload, under general supervision, and be able to work within a team environment.
Informal enquiries about the post can be directed to Dr Louise Kelly, Senior Lecturer ([email protected]).
Formal interviews for this post will be held on 27/07/2022.
Click here for full details