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Atmospheric Turbulence Correction Algorithms Engineer (KTP Associate) jobs in United States
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University of Bristol - School of Physiology, Pharmacology and Neuroscience · 14 hours ago

Atmospheric Turbulence Correction Algorithms Engineer (KTP Associate)

The University of Bristol is seeking a highly skilled graduate/post-graduate to lead a Knowledge Transfer Partnership with Thales UK Limited. The role involves developing advanced atmospheric turbulence correction algorithms to improve optical sighting systems, while embedding new knowledge into the business and maintaining academic ties.
Higher Education
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Responsibilities

Reviewing and benchmarking advanced image and video processing algorithms
Developing and adapting machine learning models
Integrating and deploying algorithms onto industrial hardware
Evaluating performance in realistic scenarios and refining solutions under system constraints
Supporting the transfer of robust, deployable technology into the business
Disseminating results via conferences and meetings
Writing papers in both high impact and specialised journals
You will be the project lead, managing your own workload and ensuring outputs, including leading on meetings and workshops
Direct problem-solving activities and your own learning
You’ll have creative freedom to suggest changes and develop the project plan

Qualification

Image processingMachine learningAlgorithm deploymentDeep learningMathematical backgroundCommunicationProblem-solving skillsProject management

Required

First degree in Electrical and Electronic Engineering, Computer Science, Physics or Mathematics (PhD desirable)
Strong mathematical background
Experience of image processing and analysis techniques and experience of coding (e.g. Python, Matlab and/or C++)
Deep learning experience
Eligibility to obtain M.O.D Security Clearance
Excellent communication skills and experience of developing research projects or industry/academia collaborations
Willingness to lead and take ownership of the project with excellent problem-solving skills

Preferred

Knowledge of atmospheric turbulence modelling or mitigations methods (desirable)
Knowledge of algorithm deployment on hardware platforms (desirable)

Benefits

£4,000 training budget
10% of your time dedicated to your personal development
Access to a pension scheme with generous employer contributions

Company

University of Bristol - School of Physiology, Pharmacology and Neuroscience

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Research within the School of Physiology, Pharmacology and Neuroscience is conducted across Neuroscience, Cardiovascular and Cell Signalling.

Funding

Current Stage
Growth Stage
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