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Reader in Artificial Intelligence

Job in Hartford, Hartford County, Connecticut, 06112, USA
Listing for: Ieeerusb
Full Time position
Listed on 2025-12-25
Job specializations:
  • Education / Teaching
    Data Scientist
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Reader in Artificial Intelligence

The Department of Computer Science wishes to appoint academics to strengthen our rapidly growing Artificial Intelligence and Machine Learning Research Group. We are looking for academics at the Reader level, with expertise in Natural Language Processing, Reinforcement Learning and/or AI Security to lead research, teach and help with the running of the department.

Artificial Intelligence & Machine Learning Research Group

The AI & Machine Learning Research Group at the University of Bath has grown significantly over recent years and includes experienced AI researchers such as Prof Nello Cristianini, Prof Özgür imek and Prof Mike Tipping alongside a strong and growing group of early career researchers. This supportive and inclusive environment provides many opportunities to develop and progress. Our Research is organised into four groups:
Artificial Intelligence, Human-Computer Interaction, Mathematical Foundations, and Visual Computing.

We are a highly collaborative team, working not only with other researchers in our department but across the university and beyond. The Department of Computer Science hosts the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent Artificial Intelligence (ART-AI), which brings together AI challenges across science, engineering, humanities and social sciences. You will have opportunities to collaborate with partners such as Google AI, Deep Mind, the FCA, ONS, NHS, and universities, including São Paulo, Zhejiang and Tsinghua.

Also hosted by the Department of Computer Science is the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA), offering a range of exciting opportunities for AI research around virtual production, motion capture and volumetric capture. In addition to university and external HPC resources, the department has its own cloud service with over 80 GPUs.

As a department, we will offer you support and growth opportunities, including career mentoring, opportunities to progress, manage, lead and access our network of application sector partners, including entertainment, sport, healthcare and technologies. We will help you to develop collaborations with regional, national and international partners, for example in science, entertainment, sport and healthcare. We will support the deepening of existing academic collaborations and the development of new ones.

You will offer us a strong academic record and the ability and enthusiasm to create an engaging experience for our excellent students.

What you will do Research

You will work with colleagues, students and researchers to develop and publish papers. You will apply for research funding to support your ideas. You will find ways of making your research available to society, for example, by working with industry, developing spinouts, collaborating with charities, influencing policymakers, or delivering talks and demonstrations to inform and excite wider audiences.

Teaching

You will design and deliver teaching materials for lectures, tutorials, and labs. You will be educating and inspiring some of the brightest students in the country, delivering an engaging experience and a supportive programme.

Helping with the running of the department

You will have a few internal roles to help the Department run smoothly. For instance, you might help with student placements, ethics processes, recruitment and admissions or lead a research team.

The support and growth opportunities we will give you

Training for an HEA fellowship qualification

New Readers will have the option to be enrolled into the Pathway to HEA Fellowship. This course will give you skills and support to help you in the teaching aspects of the role. After completing the course, you will become a Fellow of the Higher Education Academy.

Mentoring

All of our staff are allocated a mentor when they join. Your mentor will support you in your day-to-day job and help you progress.

Opportunities to progress, manage and lead

We’re a growing team and there are lots of opportunities to grow with us.

Opportunities to collaborate and build on our networks

As well as the partners we mentioned…

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