47 machine-learning positions at University of Cambridge

Research Assistant/Associate in Machine Learning (Fixed Term)

We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This

PhD Studentship in Machine-Learning Guided Compilation (Fixed Term)

Fixed-term: The funds for this post are available for 48 months. The Project Applications are invited for a PhD student to work on machine-learning guided and verifiably correct code generation

Research Assistant/Associate in Machine Learning (Fixed Term)

We are seeking a post-doctoral Research Associate ("post-doc") to join the Machine Learning Group (MLG) (http://mlg.eng.cam.ac.uk ) in the Department of Engineering, University of Cambridge, UK

Research Associate in Efficient Machine Learning Systems for Earth Observation (Fixed Term)

Applications are invited for a postdoctoral researcher to work on efficient machine-learning systems for earth observation. The post holder will be part of the Computer Architecture group under

Research Associate Probabilistic Machine Learning (Part Time, Fixed Term)

Fixed-term: The funds for this post are available for 2 years. We are looking for a Research Associate to work on the project Machine Learning Approaches as Aerospace Engineering Assistants. Under

PhD Studentship on Architecting Scalable Quantum Computers (Fixed Term)

quantum computers, development of compilation techniques to reduce resource requirements of quantum applications, machine learning techniques to design scalable building blocks for early fault tolerant

Research Assistant/Associate: Exploiting XFEL for High Energy Density and Materials Science (Fixed Term)

for the high throughput control of computations and analysis of results. Structure prediction will be performed using the AIRSS and EDDP (machine learning potential) packages, and prior experience in structure

PhD Studentship in the framework of the MSCA Doctoral Network GLITTER: Advanced Bayesian analysis and optimisation (Fixed Term)

aims to develop and apply the cutting edge of Bayesian analysis and machine learning to the optimisation of satellite configurations for GNSS-R. Combining the data science expertise of Dr Handley's

Research Assistant - Deep learning for genomics (Fixed Term)

, led by Dr Susanne Bornelöv, which studies the role of codon usage bias in gene regulation using various approaches including machine learning and AI, evolutionary genomics, and sequencing bioinformatics

Research Associate - Data Science (Fixed Term)

. The PDRA should have a relevant specialist area in data science, including managing and structuring data, programming, developing and applying theoretical methods and machine learning models for data