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Senior Lecturer and Assistant Director of the Institute for Analytics and Data Science (IADS)

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University of Essex
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This role works closely with the Director of the Institute and UNESCO Chair in Analytics and Data Science, Prof Maria Fasli, and provides senior academic leadership in promoting and supporting a range of research activities in analytics and data science.
The successful candidate will be appointed to a permanent Academic post in the School of Computer Science and Electronic Engineering as a Senior Lecturer. You will be seconded to IADS as the Assistant Director for an initial period of three years, which may (subject to mutual agreement) be extended for a further period. The Institute is led by the Director, Professor Maria Fasli, who will linemanage the Assistant Director. You will also work closely with Professor Slava Mikhaylov, Chief Scientific Advisor to Essex County Council who is seconded from the University’s Department of Government to work on analytics and data science in one of the largest county councils in the UK, and who is based in IADS. During the secondment as Assistant Director of IADS, you will focus on undertaking research, developing research proposals, developing and undertaking collaborative projects with businesses, knowledge exchange, PG supervision and supporting analytics and data science short courses which run throughout the year. On completion of the secondment, the
appointee will return to the School of Computer Science and Electronic Engineering, undertaking the normal range of education, research and leadership/citizenship duties of an Academic Staff with Education and Research (ASER) member of staff. As the Assistant Director 0.8 FTE of your time will be allocated to the Assistant Director role and 0.2.FTE allocated to your own research.

Duties of the Post:
Assistant Director of Institute for Analytics and Data Science role

  • Work together with the Director to provide senior academic leadership to shape and deliver research, business engagement, knowledge exchange, and professional development activities such as short courses within the Institute for Analytics and Data Science;
  • Support existing research projects, knowledge exchange and training activities and the supervision and mentoring of research staff and students in areas of analytics and data science;
  • Support IADS activities in research, education/training and knowledge exchange;
  • Work together with the Director to further develop research capacity within the Institute;
  • Champion data science as a key driver for developing knowledge economies and sustainable economic growth;
  • Work with key internal and external stakeholders from within and outside the University to promote the University’s expertise in analytics, data science and big data and generate and develop new collaborations including research projects
  • Collect and analyse data, prepare results and conclusions, write reports and present findings and recommendations for internal and external use;
  • Promote and represent the University’s excellence in research and education and raise the University’s profile locally and nationally.

Education and research responsibilities

  • Publish research work which is eligible for submission to the REF and other high quality scholarly publications that are not part of REF;
  • Build research collaborations both internally and externally, and undertake internationally excellent research activity and produce high quality publications;
  • Obtain external grant funding relevant to the discipline and level to support a sustainable research programme;
  • Design and deliver a broad range of innovative teaching of excellent quality at both undergraduate and postgraduate levels;
  • Supervision of Masters and PhD students, as well as undergraduate projects;
  • Take on senior administrative and management roles in the Department.

Applicants should hold a PhD in Computer Science or related area and have excellent knowledge of computer science, artificial intelligence, machine learning or advanced text analytics. Particular research areas of interest include but are not limited to:

- machine learning; 
- reinforcement learning, neural networks, deep learning;
- data mining; 
- predictive analytics; 
- natural language processing and advanced text analytics;
- semantic information extraction and the Semantic Web;
- social media analysis;
- handling of data in motion (multi-stream processing and reasoning, complex event    processing and reasoning); 
- decision support tools and systems.

Application Procedure: 

Please complete the short on-line application form and attach the following 5 documents. Shortlisting is undertaken by a panel after the closing date on the basis of information provided and failure to upload the requested documents will result in an application being rejected.

a) Please include a covering letter setting out how you meet the requirements of the role as set out in the person specification.

b) Include a full curriculum vitae (CV) including any publications. You should provide information on the range and content of your teaching and supervision experience, as well as on curriculum development. For posts with a research component, you should specify your 4 most significant papers published within the past 5 years (or an equivalent number appropriate to being an early career researcher). Applicants from within the UK should indicate which publications have been submitted to the REF 2014 and any assessment of the rating for each piece of work; For more information about the REF visit

c) Include an education statement of no more than two sides of A4 setting out your track record in terms of contribution to pedagogical developments and, where appropriate, the development of professional practice. You should also include a reflective statement on your approach to research-led education and how it draws on pedagogical research. Also indicate how you ensure your continuing professional development as an excellent teacher in higher education.

d) For posts with a research component, please include a research statement of no more than two sides of A4 providing details of your research plans for the next three years. This should include details of books, chapters or papers in progress together with planned publication dates. For journal articles please provide details of target journals and planned submission dates. If you have papers that are currently under review please detail the stage these have reached and the timescale you expect those papers to be accepted for publication. If you have papers that have been accepted for publication but not yet published please provide the date the paper was accepted for publication.

e) For posts with a research component, applicants should also submit no more than two sides of A4 setting out their three year plan for generating external funding to support their research.
A commitment to sustaining an inclusive and diverse community is one of the University’s Core Values and we are keen to address any imbalances in our workforce.

The University of Essex is proud to be part of the Disability Confident scheme and is committed to supporting diversity and equality, representative of our inclusive community. As part of our commitment to this scheme any candidate who has a disability and meets all the essential criteria for the role will be offered an interview. We also work in partnership with national disability organisation DisabledGo who provide detailed online access guides to many of our campus buildings and facilities which you may find useful.
Please note: We are only accepting on-line applications for this post. However, if you have a disability that makes it difficult for you to provide us with information in this way, please contact the Resourcing Team (01206-874588/873521) for help.
Closing Date: Extended to 16 June 2017
Interviews are planned for: 7 July 2017

Senior Lecturer £49,772 - £55,999 per annum
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