Back to search results

Research Associate in Machine Learning and Natural Language Processing

University of Sheffield - Department of Computer Science

Location: Sheffield
Salary: £37,099 to £38,205
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 5th June 2024
Closes: 27th June 2024
Job Ref: UOS041195

Are you interested in working within an internationally connected, world-leading research team in the Natural Language Processing research group?

We are welcoming applications for a postdoctoral Research Associate position in the area of natural language processing and machine learning, and more specifically large generative models. Your focus will be researching the application of large generative models for sustainability reporting as part of the Innovate UK fund project “ASIMOV: AI-as-a-Service”. The project will provide all necessary computational resources for the project, including access to Nvidia A100 GPUs for parallel computing.

You will carry out research on the latest advances in computational methods for Large Language Model training and fine-tuning. You will be able to demonstrate knowledge and experience in this topic and in writing high-quality research papers.

You will hold a PhD (or be near completion / have equivalent industrial experience) in Natural Language Processing/Machine Learning or a related area with a solid research background.

The Department of Computer Science was established in 1982 and has since attained an international reputation for its research and teaching. In the recent Research Excellence Framework (REF 2021), 99% of our research was rated in the highest two categories (4* and 3*), meaning that it is classed as world-leading or internationally excellent. Half of our research outputs were judged to be world leading. We were rated as 8th in the UK (out of 90 institutions) for the quality of our research environment, and 70% of our impact was judged to be outstanding. Much of our research spans the boundaries between engineering, medicine and the life sciences. Research in the Department is organised into a number of groups: Machine Learning, Natural Language Processing, Speech and Hearing, Computer Vision, Foundations of Computation, Complex Systems Modelling, Pervasive Computing, Security of Advanced Systems, and Testing. We attract substantial external funding from UK Research Councils, the European Union and industry. Our record for leadership in collaborative research is outstanding, particularly in European programmes. The Department is currently host to two ERC fellows and three EPSRC fellows. More information on the Department of Computer Science can be found at www.shef.ac.uk/dcs.

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @ShefUniJobs on Twitter for more information.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
More jobs from University of Sheffield

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge