Research Associate

2 months ago

Edinburgh, United Kingdom University of Edinburgh Full time

**Grade UE07: £39,347.00 - £46,974.00 Per Annum.**

**CSE / School of Informatics.**

**Fixed Term Contract - 15 Months.**

**Full Time - 35 Hours Per Week.**

The researcher will work on multi-modal data including text and visual information to help with data efficient reinforcement learning and offline reinforcement learning. They will be part of the new Edinburgh Laboratory for Integrated Artificial Intelligence, the Bayesian and Neural Systems Group and the Autonomous Agents Research Group.

**The Opportunity**:
The School of Informatics is one of the largest research centres in Computer Science in Europe, and it has been ranked #1 in the UK in terms of research power by a large margin. Informatics, Edinburgh is world renowned in Machine Learning and Reinforcement Learning, publishing in all the top venues in these fields. We are offering an exciting opportunity to work in an interdisciplinary, collaborative, friendly, and supportive environment, integrating different sub-fields of within Artificial Intelligence.

Akin to the idea that, for humans, reading the rules of e.g. a board game helps a person play that game better and more immediately than just doing random things and seeing what happens, in this project we consider the benefit of multimodal image and textual sources for data efficient RL. The researcher will be involved in deploying multimodal benchmarks for RL, and developing integrative models that can understand the implication of textual cues to aid understanding of the environment, the action space, the reward space, and the potential policy space. This method will utilise recent approaches in contrastive learning to aid this.

We welcome both local (UK-resident) and international applicants. This position will include funding for international travel - e.g., for attending conferences, visiting research collaborators, and disseminating research findings. Furthermore, the researcher will have access to the computing infrastructure and office spaces available within Informatics and the research groups.

This post is full-time (35 hours per week) and fixed term for 15 months.

**Your skills and attributes for success**:

- PhD (or near completion) or equivalent research experience in artificial intelligence, machine learning methods, machine learning in language processing, reinforcement learning or a related discipline (Desirable).
- Experience and evidence of effective independent research work within a research team, and contribution to the team effort (Desirable).
- Demonstrated quality of research performance, as evidenced by high-quality publications in top-tier machine learning / computer vision, RL or related venues (e.g., ICML, NeurIPS, ICLR, AISTATS, UAI, AAAI, ACL, EMNLP, ICCV, ECCV, CVPR, and relevant journals (IEEE PAMI, JMLR among others).
- Strong programming skills; experience with Python and deep learning libraries (e.g., PyTorch or TensorFlow).

**Click to view **a copy of the full job description (opens new browser tab)**

**As a valued member of our team you can expect**:

- A competitive salary of £39,347.00 - £46,974.00.
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community.
- Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our **staff benefits page **(opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits.

**Championing equality, diversity and inclusion**

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.

Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our **right to work webpages **(opens new browser tab).

**Key dates to note**

Interviews will be held in due course.

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