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The department's vacancies are also advertised on the University jobs webpages and via, which can be reached using the links on the right

Senior Research Fellow (102703-0120)

Full time (36.5 hours per week) Fixed term contract for 1.5 years.

A Postdoctoral Research Fellow position in the area of Machine Learning for Intelligent Data Systems is available for 1.5 years. The start date can be negotiated for the successful candidate, but the expectation is that the candidate will be ready to start by June 2020.
The position is available in connection with a research grant of Prof Triantafillou on Machine Learning models for ensuring scalability and efficiency within Data Systems.

The primary focus in this research is to design, develop, and implement ML models and algorithms that can address the problems of scalability and efficiency during data analysis of massive datasets. Specifically, the researcher will undertake research that will deal with the currently unsolved issues of the massive storage requirements and huge execution times incurred during the analysis of huge datasets, by developing and adapting ML models within the data system itself. The main objective of the post is to pursue cutting-edge research in this area and complement the expertise gained in this area by the group in the last 5 years.

You will need to have an excellent background in computer science, statistics, and ML and a desire to implement solutions and experiment heavily. Particular background in Deep Learning, Explainable ML, Data Systems design and implementation, will be especially appreciated. You will need to have a PhD in the relevant area.

You should provide with your application form a CV, including a list of publications and awards, as well as the names and contact details of three references, and a research statement.

You will be formally based in the Department of Computer Science at the University of Warwick. For further information, please contact Prof Peter Triantafillou:
Professor Peter Triantafillou.


To undertake cutting-edge research on ML for intelligent data systems.


1. To carry out high-quality research in this area and publish results in leading international conferences such as PVLDB, Sigmod, ICDE, KDD, ICDM, NeurIPS, ICML, etc.

2. To attend and present research findings and papers at top conferences.

3. To assist in the organization of research meetings/workshops in the areas relevant to the project.

4. To contribute fully to the research activities (including the seminars and workshops and visitor programme) in the Data Science Theme of the Department.

The duties and responsibilities are not intended to be an exhaustive list but provide guidance on the main aspects of the job. You will be required to be flexible in your in duties.


Fri 24 Jan 2020, 11:50

Assistant Professor (52914-129)

Full time (36.5 hours per week) Permanent Position

Enthusiastic individuals are sought to make a major contribution to the Department’s activities in research and teaching. You will hold a PhD or equivalent in Computer Science or a related discipline. You will have an outstanding academic record, with indicators such as publications in top-tier journals and conferences, significant software artefact design and implementation, and academic awards. You will have a strong commitment to undergraduate and postgraduate education.

This is an opportunity to join one of the UK’s most successful Computer Science departments and to be part of an exciting time of growth in the Department. We are looking for candidates who will extend the Department’s profile, especially in an applied direction or through industrial collaboration.

Candidates of underrepresented genders or ethnicities are encouraged. Staff with caring responsibilities are supported, and onsite childcare facilities are available. We will also consider applications for employment on a part time or other flexible working basis.

In addition to a completed application form, candidates should submit four documents (appropriately merged):
1. a cover letter, outlining merits and most significant achievements;
2. a research statement;
3. a teaching statement;
4. a Curriculum Vitae with a list of publications, where up to five most important publications are highlighted.

Informal enquires can be addressed to the Head of Department, Professor Ranko Lazic (

Applicants invited for an interview will need to ensure that each of their three referees emails a letter of recommendation to the Departmental Secretary, Sharon Howard ( It is expected that interviews will take place in March-April 2020.

Start date of the post: 1 July 2020, or as soon as possible thereafter.

You will undertake research, teaching, administration and other activities which support the work of the Department and develop and enhance its reputation, both internally and externally to the University.



1. To pursue individual and collaborative research of high quality, consistent with making a substantial research contribution.

2. To publish research outcomes in appropriate conferences and journals of international standing, and to disseminate the results of research and scholarship in other reputable outlets.

3. As part of your research agenda, to plan or pursue research with an impact on society (related to e.g. individual health and behaviour, economic success, government policy etc.), and to aid in further developing the impact and benefits to society arising from that research.

4. To stimulate interaction between relevant research communities at Warwick and with external collaborators.

5. To attend and present research findings and papers at academic and professional conferences and to contribute to the external visibility of the Department.

6. To seek, in collaboration with colleagues as appropriate, external funding through research grants or contracts to support a developing research agenda.

7. To manage research projects within the University, including their financial control and to supervise post-doctoral research assistants, research students, technical and other support staff engaged in research.

8. To consider the value of research achievements within their potential commercial context and, where appropriate, with the assistance of Warwick Research and Impact Services, take appropriate action to ensure that intellectual property rights are protected.

9. To contribute to the research plans developed by the Department including providing such information as may be required.

10. Where appropriate, to contribute to the development of impact case studies and to assist the Department in submitting these for the Research Excellence Framework or other purposes.


1. To teach and supervise students in computer science and related topics. To give lectures, seminars, tutorials and other classes as appropriate in support of the Department’s required teaching obligations, and to supervise dissertation work by postgraduate and undergraduate students.

2. To contribute to the supervision and training activities of PhD students.

3. To co-operate with colleagues in the continuous review and development of the curriculum, and in the design and launch of new degrees or other academic awards where appropriate.

4. To undertake academic duties (i.e. setting examinations, marking, invigilation and pastoral support of students) required to sustain the delivery of high quality teaching.

5. To maintain a broad knowledge of up-to-date research and scholarship in relevant fields to ensure that teaching meets the high standards expected within a research-led University.

Administration and other Activities

1. To undertake such specific roles and management functions as may be reasonably required by the Head of Department.

2. To attend relevant meetings and to participate in other committees and working groups within the Department, the University and other stakeholders.

3. To engage in continuous professional development. As part of probation, this involves timely participation in and progress on Warwick’s Academic and Professional Pathway for Teaching Excellence.

4. To undertake external commitments which maintain and enhance the reputation of the University.

The duties and responsibilities outlined are not intended to be an exhaustive list but provide guidance on the main aspects of the job. The post-holder will be required to be flexible in their duties.
Closing Date 31 Jan 2020
Tue 17 Dec 2019, 16:18 | Tags: Vacancies

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