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Position: Research Fellow, Reinforcement Learning Methods
Institution: University of Warwick
Department: Wmg
Location: Coventry, England, United Kingdom
Duties: We are seeking to appoint one Research Fellow to work in the area of Deep Reinforcement Learning. The post holder will join the Data Science team, based in the Department of Statistics and WMG at the University of Warwick, to support an ambitious AI research programme funded by a UKRI Turing AI Acceleration Fellowship
Requirements: Honours degree, 2.1 or above in statistics, mathematics, computer science or similar; Possession or near completion of a PhD in a relevant discipline, such as statistical machine learning
   
Text: Research Fellow, Reinforcement Learning Methods (104121-0522) Click here to go back to search results Apply Now Vacancy Type/Job category Research Only Department WMG Salary ?31,406 - ?40,927 per annum Location University of Warwick, Coventry Vacancy Overview Fixed-term contract for 24 months or until 31 December 2025 (whichever is sooner), 1.0 FTE. We are seeking to appoint one Research Fellow to work in the area of Deep Reinforcement Learning. The post holder will join the Data Science team, based in the Department of Statistics and WMG at the University of Warwick, to support an ambitious AI research programme funded by a UKRI Turing AI Acceleration Fellowship. One of the main challenges in AI today is that of autonomous sequential decision-making: how can we give AI algorithms the ability to decide what actions to take whilst interacting with an uncertain environment in order to achieve a goal? Remarkable developments in this direction over the last few years have relied on deep reinforcement learning (DRL). Many real-world applications are characterised by the interplay of multiple decision-makers that operate in the same shared-resources environment and need to accomplish goals cooperatively. The fast-developing area of collaborative multi-agent deep reinforcement learning (MADRL) has recently emerged to extend DRL to teams of autonomous agents. Depending on your prior research experience and interests, you will have the freedom to focus a particular research aspect of interest including multi-agent communication, relational learning, and off-line learning. There will also be an opportunity to develop reinforcement learning policies from raw video data using computer vision technologies. Our advances will be motivated by the desire to enable autonomous cooperative systems in real-world applications. The project is well-supported by a number of industry partners. In the manufacturing sector, we have established collaborations with robotics manufacturers (Shadow Robots, Kinova and Inovo), a strategic partnership with the US National Institute of Standards and Technology (Robotic Systems for Smart Manufacturing Program) and with the HKUST Robotics Institute, amongst others. In the digital healthcare sector, the project is supported by NHS Trusts providing historical clinical data. At the University of Warwick we are committed to supporting staff to achieve their potential. We currently hold the Athena SWAN Silver Award and the University of Warwick holds an Institutional Silver Award: a national initiative that recognizes the advancement of gender equality, representation, progression and success for all in academia. We are supportive of staff with caring responsibilities including a generous maternity/paternity/adoption/parental leave policy, and onsite childcare facilities. We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so. For an informal conversation about this role, please contact Professor Giovanni Montana (G.Montana@warwick.ac.uk) Interview Date: TBC. Job Description JOB PURPOSE You will be joining the Data Science team based in the Department of Statistics and WMG at the University of Warwick to undertake AI research on a UKRI-funded research project. You will develop new technologies based on deep artificial neural networks and reinforcement learning to advance the state-of-the-art of collaborative multi-agent systems with the potential to unlock new real-world applications in manufacturing and/or digital healthcare. You will assist the Project Director (Prof Montana), the broader team of AI researchers and software engineers, as well as our industry partners, in the successful execution of the project. DUTIES & RESPONSIBILITIES Research 1. To develop novel deep reinforcement learning methodologies for multi-agent systems using deep learning techniques. 2. To explore extensions of relational reinforcement learning, learning from video demonstrations and/or off-line reinforcement learning in the context of multi-agent systems. 3. To work in collaboration with our industry partners to identify relevant real-word problems and applications (e.g. in robotics and healthcare). 4. To explore synergies with our academic partners to develop cutting edge learning algorithms and benchmark them with state-of-the-art methodologies. 5. To assist our 3D modellers and engineers in the development of realistic multi-agent environments and tasks to support our research. 6. To establish a sound research base within the two departments (Statistics & WMG) 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 its research strategy. 7. To secure, in collaboration with colleagues as appropriate, external funding through research grants or contracts to support a developing research agenda. 8. To manage research projects within the University, which includes supervising post-doctoral research assistant, research students, technical and other support staff engaged in research. 9. To consider the value of research achievements within their potential commercial context and where appropriate and with the assistance of Research & Impact Services, take appropriate action to protect such research results by patent application or copyright to the potential benefit of the University. 10. To publish research outcomes in appropriate journals of international standing and to publish and disseminate the result of research and scholarship in other reputable outlets. 11. To identify and explore with the Departments and the University any entrepreneurial opportunities which may arise and to ensure that intellectual property rights are protected for the benefit of the University and the researcher. 12. To attend and present research findings and papers at academic and professional conferences, and to contribute to the external visibility of the department. 13. To contribute to the research plans developed by the Department, including providing such information as may be required by the Department to monitor the progress of each member of staff?s research programme and to support the Department fully in the preparation of material required for the REF or similar activities. 14. To help draft research reports for the Project Director. Administration and Other Activities 1. To undertake such specific departmental roles and management functions as may be reasonably required by the Head of Department. 2. To attend departmental meetings and to participate (where necessary) in other committees and working groups within the department, the faculty and the University. 3. To participate in relevant professional activities. 4. To engage in continuous professional development. 5. To undertake external commitments, which reflect well and enhance the reputation of the University. 6. To ensure compliance with health and safety in all aspects of work. The duties and responsibilities outlined are not intended to be an exhaustive list but provide guidance on the main aspects of the job. The postholder will be required to be flexible in their duties. Person Specification The Person Specification focuses on the knowledge, skills, experience and qualifications required to undertake the role effectively. This is measured by (a) Application Form, (b) Test/Exercise, (c) Interview, (d) Presentation. Essential Criteria 1 Honours degree, 2.1 or above in statistics, mathematics, computer science or similar. (a) Essential Criteria 2 Possession or near completion of a PhD in a relevant discipline, such as statistical machine learning. (a) Essential Criteria 3 Knowledge of deep artificial neural networks. (a, b, c, d) Essential Criteria 4 Knowledge of reinforcement learning methodologies. (a, b, c, d) Essential Criteria 5 Knowledge of Python and deep learning frameworks (e.g. PyTorch). (a, b, c, d) Essential Criteria 6 Ability to publish excellent work in relevant fields. (a, c) Essential Criteria 7 Good effective communication (oral and written) skills, presentation and training skills. (a, c) Essential Criteria 8 Good interpersonal skills. (a, c) Essential Criteria 9 Ability to work independently and as part of a team on research programmes. (a, c, d) Essential Criteria 10 Ability to initiate, plan organise, implement, and deliver programmes of work to tight deadlines. (a, c, d) Desirable Criteria 1 Proven experience in Higher Education. (a, c) Desirable Criteria 2 Ability to initiate, develop and deliver high quality research and to publish in peer reviewed journals using a broader range of quantitative skills, e.g. in physics. (a, c) Desirable Criteria 3 Competency in Linux and multi-GPU environments. (a, c) Desirable Criteria 4 Ability or potential to generate external funding (grants, contracts etc) to support research projects. (a, c) Desirable Criteria 5 Ability to write research reports and papers in styles accessible to both academic and policy audiences. (a, c) Further Particulars If you are near submission or have recently submitted your PhD but have not yet had it conferred, any offers of employment will be made as Research Assistant at the top of level 5 of the University grade structure (?30,497). Upon receipt of evidence of the successful award of your PhD, you will be promoted to Research Fellow on the first point of level 6 of the University grade structure (?31,406 pa). For further information about the WMG Data Science and AI Group then please visit our website Right to work in the UK If you do not yet have the right to work in the UK and/or are seeking sponsorship for a Skilled Worker visa in the UK points-based immigration system please click on this link which contains further information about obtaining right to work in the UK and details about eligibility for sponsorship for a Skilled Worker Visa. The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual?s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010. To find out more about our social inclusion work at Warwick visit our webpages here Recruitment of Ex-Offenders Policy As an organisation using the (DBS) Disclosure and Barring Service to assess applicants? suitability for positions of trust, the University of Warwick complies with the DBS Code of Practice and undertakes not to discriminate unfairly against any subject of a Disclosure on the basis of a conviction or other information revealed. More information is available on the University?s Vacancy pages and applicants may request a copy of the DBS Code of Practice. Closing Date 27 Jun 2022 Apply Now Email this job to a friend
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