Senior Lecturer or Reader in Data Science/Statistics (ONS)
Applications are invited for a Senior Lectureship/Readership in Data Science/Statistics associated with the Data Science Academy which is a partnership between the School of Computer Science and Informatics and the School of Mathematics. The Office for National Statistics (ONS) is supporting this position as part of its recently announced strategic partnership with Cardiff University. The person appointed will strengthen this collaborative partnership across the spectrum of research, education and industrial engagement activities.
The successful candidate will have an established record of research that reaches the highest standards of excellence in terms of originality, significance and rigour in any area of Data Science/Statistics and have a genuine curiosity and enthusiasm to deliver and develop high-quality teaching for undergraduate and postgraduate programmes in related subjects. The successful candidate will possess an ability to translate theory into practice and to work with the ONS and other public sector organisations in the application of data science to public policy. The person appointed would be expected to engage with staff at the ONS Data Science Campus (https://datasciencecampus.ons.gov.uk/)
School of Computer Science & Informatics
Cardiff University has a large and successful School of Computer Science & Informatics which is well resourced and enjoys an international reputation for both its teaching and research activities. The School of Computer Science & Informatics is based in the Queen’s Buildings complex on Newport Road within the city centre of Cardiff, and also includes the National Software Academy (NSA), which is based in Newport and delivers industry-focused undergraduate and postgraduate Software Engineering programmes. For more information on the School, please visit the website: www.cardiff.ac.uk/computer-science Teaching in the School covers two sites, with Software Engineering delivered at the National Software Academy in Newport, and all other programmes are delivered at our Cardiff site.
School of Mathematics
Cardiff University has a successful School of Mathematics that has grown considerably over the last 5 years. The School provides an innovative and stimulating environment for both studying and researching in the mathematical sciences. Our excellent reputation attracts over 300 students from around the world every year onto our undergraduate and postgraduate programmes. For more information on the School please visit the website: www.cardiff.ac.uk/mathematics
ONS Data Science Campus
The modern economy provides the challenge of measuring fast-evolving forms of economic activity, and the opportunity to exploit huge amounts of new data and information. The ONS Data Science Campus was established to investigate the use of new data sources (including administrative data and big data) for public good and to help build data science capability for the benefit of the UK. A new generation of tools and technologies is being used to exploit the growth and availability of these new data sources. Innovative methods, such as machine learning and natural language processing, are providing richer, more informed measurement and analyses on the economy, the global environment and wider society to help policy-makers, researchers and businesses. Based at the headquarters of Office for National Statistics in Newport, south Wales, the Data Science Campus is growing its reputation as a leader in data science, both in the UK and internationally. For more information on the ONS Data Science Campus, please visit the website: https://datasciencecampus.ons.gov.uk/
Cardiff University is committed to supporting all its employees in achieving the necessary balance between their work and their personal lives. As part of this commitment, the University has developed a flexible and responsive framework of support for staff in managing their work and personal commitments wherever possible.
We particularly welcome applications from women who are under-represented within Cardiff University in these fields.
This position is a full-time position, 35 hours per week and is open ended.
Salary range: £51,034 – £59,135 per annum (Grade 8): (NB: Candidates able to demonstrate an emerging international reputation will be considered at Reader level, which is remunerated at £60,905 - £62,727 per annum, Reader, Grade 8, Point 50 & 51)
The post is available from 1 March 2020 or a mutually agreed date thereafter.
For an informal discussion of the role please contact Professor Stuart Allen firstname.lastname@example.org, Professor Tim Phillips email@example.com or Sarah Oakes firstname.lastname@example.org.
Date advert posted: Wednesday, 22 January 2020
Closing date: Friday, 28 February 2020
Cardiff University is committed to supporting and promoting equality and diversity and to creating an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds. We therefore welcome applicants from all sections of the community regardless of sex, ethnicity, disability, sexual orientation, trans identity, relationship status, religion or belief, caring responsibilities, or age. In supporting our employees to achieve a balance between their work and their personal lives, we will also consider proposals for flexible working or job share arrangements.
- To conduct research within Data Science and contribute to the overall internationally recognised research performance of the Schools and their Research Institutes by the production of measurable outputs, including: bidding for funding; publishing in leading international academic journals; disseminating research outcomes and speaking at highly significant conferences, and; the recruitment and supervision of research staff, lecturers and postgraduate research students.
- To contribute to and/or lead successful bids for funding, including those linked to the ONS’ strategic aims and objectives.
- To give invited addresses to professional meetings and conferences at national and international level, building networks to develop research outputs and standing within the area of specialism to participate in School research activities.
- To contribute fully to the management of postgraduate research.
- To disseminate and translate the impact of our research in data science to ONS.
- The application of data science to public policy.
- To contribute to ONS’s data science research programme, including spending the equivalent of one day per week at the ONS offices, Newport to progress programme aims and develop network within and understanding of the ONS organisation.
- To lead on degree and module development and delivery and contribute to the pedagogy of subject area.
- To lead on a programme at the Data Science Academy (DSA), e.g. the new MSc Data Analytics for Government and/or the proposed MSc in Business Analytics and contribute to the development of a potential Centre for Doctoral Training (CDT) in the data science space.
- To engage the ONS and other public sector/government stakeholders in curriculum design and delivery.
- To act as programme manager, module leader and/or tutor – ensuring delivery of teaching in line with current curricular requirements, developing and applying innovative and appropriate teaching techniques and material which create interest, understanding and enthusiasm amongst students.
- To undertake work associated with examinations, such as setting and marking assessments and providing student feedback.
- To act as a Personal Tutor and provide pastoral support to students, including supervising the work of Undergraduate and Master’s students, the co-supervision of PGR’s, and acting as a PGR progress review panel member as required.
- To mentor MSc/PhD placement students within ONS.
- To present at relevant ONS events relating to data science events.
- To provide academic leadership by co-ordinating the work of others to ensure areas of research/degree courses are organised and delivered effectively.
- To be involved in the departmental level strategic planning and contribute to wider strategic planning processes in the University.
- To undertake and lead operational administrative responsibilities as requested by Head of School and the senior management team, and contribute to and/or lead bids for consultancy and additional funds.
- To cultivate strategically valuable alliances and engage effectively with other public sector organisations, industry, professional institutions, other academic institutions etc., regionally, nationally and internationally to raise awareness of the School’s and ONS’s profile. To pursue opportunities for collaboration across a range of activities. These activities are expected to contribute to the School and ONS and the enhancement of their regional, national, and international profile.
- To deliver high-quality and research-led teaching at both undergraduate and postgraduate level and contribute to the research record of the School through commitment to carrying out research leading to the publishing of work in high-quality journals.
- To pursue excellence in research, teaching and enterprise and to inspire others to do the same.
- To strengthen the University’s collaboration with the ONS in teaching, research and innovation.
- Any other duties not included above, but consistent with the role
Qualifications and Education
- Postgraduate degree at PhD level in a related subject area or relevant industrial experience.
- Postgraduate Certificate in University Teaching and Learning or equivalent qualification or significant experience.
- A well-established expertise and significant proven portfolio of research and/or relevant industrial experience within the following research fields:
- Data Science
- Substantial teaching experience at undergraduate/postgraduate level, demonstrating teaching innovation in course development, design and delivery.
- Established national and growing international reputation within academic field.
- Proven substantial record of highly significant publications in national and international journals.
- Proven record of contributing to and leading successful research bids.
- Proven ability to design, deliver and continuously develop modules across Data Science programmes.
- Proven record of engaging external stakeholders in research and/or teaching.
- The ability to provide appropriate pastoral support to students, appreciate the needs of individual students and their circumstances and to act as a personal tutor.
- Relevant professional qualification(s).
- Evidence of collaborations with government/public sector organisations or industry.
- Proven ability to adapt to the changing requirements of the Higher Education community.
- Evidence of ability to participate in and develop both internal and external networks and utilise them to enhance the teaching and research activities of the School.
- Proven record of taking responsibility for academically related administration.
The School of Computer Science & Informatics
Cardiff University has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The School delivers a stimulating portfolio of BSc and MSc degrees, and offers research degrees leading to MPhil and PhD qualification. We have a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework. Our multi-million pound annual research income is funded by a variety of sources, including the Royal Society, the Leverhulme Trust, the Welsh Assembly (including Higher Education Funding Council for Wales), the UK Research Councils, including Engineering and Physical Sciences Research Council, the European Commission and industrial partners (mainly IBM UK Ltd and Airbus).
For further information visit: http://www.cardiff.ac.uk/computer-science
The School of Mathematics
The School of Mathematics is a research-led School in Cardiff University, one of the UK’s leading universities, with a reputation for internationally excellent research and high quality teaching. In the recent Research Excellence Framework (REF) 2014, the School was ranked joint 19th out of 53 submissions in the Mathematical Sciences Unit of Assessment. All of the research submitted was rated at least ‘internationally recognised’ with 90% rated as either ‘world leading’ or ‘internationally excellent’. A distinctive feature of the submission was that 100% of our research was rated as ‘outstanding’ or ‘very considerable’ for its impact in terms of its reach and significance.
The School offers a lively postgraduate environment, with a significant number of postgraduates working in its specialist areas. Undergraduate students are offered a wide choice of degree programmes, covering an extensive and exciting range of mathematics and its applications. The School engages with industry, young people and the wider community to make our innovative research accessible to a wider audience. The School has a long-standing culture of applied research and direct engagement with a wide range of industrial, government and commercial organisations such as the NHS, Hewlett Packard and the Office for National Statistics.
For further information visit: http://www.cardiff.ac.uk/mathematics
ONS and the ONS Data Science Campus
The Office for National Statistics is the UK's largest independent producer of official statistics and the recognised national statistical institute of the UK. It is responsible for collecting and publishing statistics related to the economy, population and society at national, regional and local levels.
The modern economy provides the challenge of measuring fast-evolving forms of economic activity, and the opportunity to exploit huge amounts of new data and information. The ONS Data Science Campus was established to investigate the use of new data sources (including administrative data and big data) for public good and to help build data science capability for the benefit of the UK. A new generation of tools and technologies is being used to exploit the growth and availability of these new data sources. Innovative methods, such as machine learning and natural language processing, are providing richer, more informed measurement and analyses on the economy, the global environment and wider society to help policy-makers, researchers and businesses. Based at the headquarters of Office for National Statistics in Newport, South Wales, the Data Science Campus is growing its reputation as a leader in data science, both in the UK and internationally.
For further information visit: https://datasciencecampus.ons.gov.uk/