Research Fellow in Bayesian Machine Learning for Psychoacoustic Modelling

Job title:

Analysis Fellow in Bayesian Machine Studying for Psychoacoustic Modelling

Firm

College of Southampton

Job description

Job Data Organisation/FirmUNIVERSITY OF SOUTHAMPTON Analysis AreaLaptop scienceEngineering Researcher ProfileFirst Stage Researcher (R1) NationUnited Kingdom Software Deadline24 Apr 2024 – 00:00 (UTC) Sort of ContractDifferent Job StandingFull-time Is the job funded via the EU Analysis Framework Programme?Not funded by an EU programme Is the Job associated to employees place inside a Analysis Infrastructure?NoSupply DescriptionBrokers, Interplay & ComplexityLocation: Highfield Campus
Wage: £34,980 to £41,732 Every year
Full Time Mounted Time period (36 months)
Closing Date: Wednesday 24 April 2024
Interview Date: To be confirmed
Reference: 2534723FP-RAnalysis Fellow in Bayesian Deep StudyingWe’re looking for functions for a analysis fellow on the College of Southampton throughout the Imaginative and prescient, Studying and Management (VLC) Group in Electronics and Laptop Science, to work within the space of Bayesian deep studying. The place is offered on a set time period foundation for 36 months attributable to funding restrictions.You’ll be working below the route of Dr Christine Evers on the EPSRC analysis programme “Challenges in Immersive Audio Expertise (CIAT)” ( ) carried out in collaboration between King’s School London, College of Surrey, and College of Southampton. You’ll deal with basic analysis questions surrounding the complexity, generalisability, and interpretability of Bayesian fashions. You’ll apply your analysis outputs to audio information with the purpose to foretell sound discipline attributes which can be perceptually related to human listeners.We’re looking for candidates with a Ph.D. (both awarded or nearing completion) or equal skilled qualification and expertise in Machine Studying, Statistics, or a associated discipline, who’ve in-depth data in and demonstrable expertise with:

• Bayesian deep studying;
• Growth of customized modules utilizing GPU-accelerated APIs for deep studying (e.g., Pytorch); and
• Growth of bespoke information loaders and pipelines.

As a part of your function, you’ll:

• Publish and disseminate your findings at top-tier venues (e.g., NeurIPS, ICLR, ICML, IEEE Transactions);
• Collaborate with our exterior challenge companions to broaden the scope of your analysis;
• Liaise with our business companions to make sure business influence of your analysis; and
• Develop and take part in actions for engagement with the general public, policymakers and key stakeholders.

You’ll profit from:

• Intensive alternatives for collaboration between the College of Southampton, King’s School, and College of Surrey, in addition to exterior, worldwide challenge companions (e.g., Stanford CCRMA, USA).
• Alternatives to journey, e.g., for worldwide conferences and analysis visits hosted by challenge companions.
• Entry to state-of-the-art analysis services, together with a high-performance compute cluster that’s particularly aimed toward workloads requiring giant quantities of GPU reminiscence or long term instances.
• A vibrant, various, and inclusive tutorial neighborhood.
• Alternatives for skilled growth and profession development, e.g., mentorship of PhD college students, growth of funding functions, involvement in instructing actions.
• Alternatives for profession growth, together with contributions to instructing, technology of future funding bids, and co-supervision of PhD, taught postgraduate and undergraduate initiatives.

Ranked within the high 1% of universities globally and among the many UK’s high 20 for analysis, the College of Southampton has a world status for its analysis, instructing and enterprise actions. The submit will likely be held within the , a pleasant and supportive atmosphere that facilitates high-impact, multi-disciplinary analysis, schooling, coaching, and outreach. ECS holds an Athena SWAN bronze award in recognition of its continued dedication to enhancing equality for ladies in science and engineering.We’ll give due consideration to candidates who want to work flexibly together with part-time, and to those that have taken a profession break. We have now a spread of employees growth programmes and a singular mentoring and wellbeing scheme ( ).Casual enquiries may be made to Dr Christine Evers, Affiliate Professor:NecessitiesExtra DataWork Location(s)Variety of affords accessible 1 Firm/Institute UNIVERSITY OF SOUTHAMPTON Nation United Kingdom Metropolis Southampton GeofieldThe place to use Web siteContact MetropolisSouthamptonSTATUS: EXPIRED

Anticipated wage

£34980 – 41732 per 12 months

Location

Southampton

Job date

Sat, 06 Apr 2024 03:54:16 GMT

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