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Assistant/Associate Professor (103354-721)

Permanent, full time positions.

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 especially in the following areas:
• Artificial Intelligence for Healthcare;
• Natural Language Processing;
• Multi-Agent Systems, Explainable AI or Knowledge Representation;
• Computer Security.

Applications will be considered on their merits, and for both the roles of Assistant Professor and Associate Professor. As the Department is committed to equality, diversity and inclusion among its staff and students, candidates of underrepresented genders or ethnicities are encouraged. Applications for part-time or other flexible working arrangements will be considered.

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 (

Start date of the post: 1 January 2022, or as soon as possible thereafter.

Closing date for applications: 19 September 2021.

It is expected that interviews will take place in October 2021.


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.


Mon 19 Jul 2021, 15:31

Knowledge Transfer Partnership Associate - Research Engineer in Natural Language Processing (101801 - 0721)

Fixed Term Contract for 12 Months - Based in London
36.5 hours per week

This is a unique and exciting opportunity, supported by leading academics from the University of Warwick and Queen Mary University of London and based at Filament, a leading machine learning consultancy and product company located in London. The KTP Associate will play a critical role in the development of an innovative question answering solution by sharing knowledge with experts in the field.

You will have primary responsibility for the design, development and implementation of a state of the art solution that will take users’ questions in natural language and identify and retrieve the relevant information from large corpora. The solution will be designed to be industry agnostic, and the KTP Associate will gain exposure to various sectors such as financial and retail industries and the third sector. You will be responsible for authoring reports and academic publications that describe aspects of your work, and the potential impact for Filament and its clients.

Additionally, there is ample opportunity to contribute to Filament’s consultancy projects where you will gain client-facing experience and apply cutting edge machine learning techniques to real world datasets collected by companies across many sectors.


● Develop state of the art methodology for question answering for industry using real world datasets
● Opportunities for leadership in quickly expanding company
● 12 Month fixed term post with potential for permanent employment
● Gain industry project management and software engineering experience
● Work with director-level company management to realise benefits to the business
● National and international business travel opportunities
● Flexible working hours environment with hybrid/flexible working from home or london offices and “unlimited” holiday policy provided by Filament (at the discretion of management)
● Based in London, UK
● Up to £10,000 training budget
● Salary up to £35,893 per annum plus £3,000 London allowance

Interview Date - TBC


Research, design and implement a natural language question answering system for a London-based AI startup company using appropriate machine learning and software engineering approaches.


● Research into existing state of the art techniques in question answering.

● Research and development of advanced question answering tool

● Research and development of probabilistic techniques for data fusion and customer profiling

● Managing the project including timelines, development roadmap and budget

● Development of production-ready software for delivery to real customers

● Production of documentation and training materials

● Liaising with and regular reporting to business and university supervisors
Tue 13 Jul 2021, 11:33

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