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Vacancies

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

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Research Fellow in Natural Language Processing (104396-0821)

Full time, fixed term contract for 24 months with possibility to extend for a further 12 months.

Applications are invited for a Research Fellow position on the UKRI-funded Turing AI Fellowship project ‘Event-Centric Framework for Natural Language Understanding’ led by Prof. Yulan He. The 5-year project aims to develop a knowledge-aware and event-centric framework for natural language understanding, in which event graphs are built as reading progresses; event representations are learned with the incorporation of background knowledge; implicit knowledge is derived by performing reasoning over event graphs; and the comprehension model is developed with built-in interpretability and robustness against adversarial attacks.

There will be three research fellows appointed in different stages of the project. For this post, the successful candidate will primarily focus on event hypergraph representation learning and knowledge-aware Question-Answering. They will work closely with various industrial partners including AstraZeneca, Google and Actable AI. They will also join the wider network of Turing AI fellows and the Alan Turing Institute, the national AI and Data Science institute in the UK. There will be opportunities to develop research profile, to travel to give demos and presentations, and to write academic papers.

Candidates should hold a PhD degree in Computer Science or other relevant discipline. The successful candidate will possess skills in natural language processing and deep learning. Experience of knowledge graph, graph neural networks and/or biomedical QA would be beneficial.

The starting date will be as soon as possible after the interview.

Informal enquiries should be addressed to Professor Yulan He at Yulan.He@warwick.ac.uk.

If you have not yet been awarded your PhD but are near submission or have recently submitted your PhD, any offers of employment will be made as Research Assistant on level 5 of the University grade structure (£30,497. Upon successful award of your PhD and evidence of this fact, you will be promoted to Research Fellow on the first point of level 6 of the University grade structure (£31,406 pa).

Tue 31 Aug 2021, 12:00

Research Fellow (103616-0821)

Full time, fixed term contract for 36 months.

The start date to be negotiated with the successful candidate.
We are seeking to recruit a postdoctoral research fellow, to work in the area of probabilistic machine learning, decision making and data-driven causal inference.

The post is a joint appointment between the Departments of Computer Science and Statistics at the University of Warwick. You will join a team of researchers affiliated with the ATI and led by Dr Theo Damoulas, including research assistants and PhD students in computer science and statistics. You will have opportunnities to collaborate with external partners from Microsoft Research, Data61, Amazon and policy makers from GLA, TfL and the UK government.

You will be expected to perform high quality research under the supervision of Dr. Theo Damoulas, as part of the Turing AI Acceleration Fellowship Machine Learning Foundations for Digital Twins, awarded to Theo. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, causal inference, experimental design and issues in spatio-temporal inference such as non-stationarity and non-separability. The expectation is that you will produce breakthrough research results in the areas of Bayesian statistics, causal inference, causal AI, and contribute to publishing these results in top rated venues.

You will possess a PhD or an equivalent qualification in Statistics or Computer Science or Applied Mathematics (or you will shortly be obtaining it). You should have a very strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning, causal inference and structural causal modeling.

If you have not yet been awarded your PhD but are near submission or have recently submitted your PhD, any offers of employment will be made as Research Assistant on level 5 of the University grade structure (£30,497). Upon successful award of your PhD and evidence of this fact, you will be promoted to Research Fellow on the first point of the level 6 of the University grade structure (£31,406).

Candidates should provide their application form a CV, a list of publications and a research.

JOB PURPOSE

To undertake research in order to support the work of the departments and develop and enhance their reputation, both internally and externally. To undertake research in probabilistic machine learning and its intersection with causal AI to support Dr. Damoulas’ Turing AI Fellowship on Machine learning foundations for Digital Twins. The topics include development of probabilistic ML methodology for sequential decision making on digital twins, policy evaluation and forecasting in spatio-temporal dynamic settings, Bayesian optimisation and its intersection with structured inductive biases and causal prior information, experimental design, causal discovery and causal effect estimation from observational and interventional data, optimal decision making over complex multivariate spatio-temporal phenomena and related areas.


DUTIES & RESPONSIBILITIES

Research and Scholarship

1. To establish a sound research base within the departments in order to pursue individual and collaborative research of high quality, consistent with making a full active research contribution to the department in line with research strategy.

2. To write or contribute to publications or disseminate research findings using other appropriate media.

3. To attend and present research findings and papers at academic and professional conferences, and to contribute to the external visibility of the departments and the university.

Administration and Other Activities

1. To engage in continuous professional development.

2. To ensure compliance with ethical and secure handling of data and health and safety in all aspects of work.

3. To participate in and develop internal and external partnerships, for example to identify sources of funding, generate income, obtain projects, or build relationships for future activities.

APPLY

Fri 20 Aug 2021, 10:15

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 (R.S.Lazic@warwick.ac.uk).

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 (S.L.Howard@warwick.ac.uk).

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.

JOB PURPOSE:

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.


DUTIES & RESPONSIBILITIES:

Research

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.

Teaching

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.

APPLY

Mon 19 Jul 2021, 15:31

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