Data science Work, Jobs in Hinxton, Cam (with Salaries)

Research Associate in Machine Learning for Materials Simulation (Fixed Term)
University of Cambridge —Cambridge
- £34,610 - £46,049 a year
- Doctoral degree
- Research
- Machine learning
10d
Regulatory Data Specialist - Contract Role 12 months
Synthomer (UK) Limited —Harlow
- Hybrid work
- Continuous improvement
- Employee assistance programme
Quick apply
2d
Bioinformatician - Disease Gene Discovery - Inherited Mitochondrial Diseases
University of Cambridge —Cambridge
- £42,254 - £56,535 a year
- Doctoral degree
- Research
- University
Scientific Data Engineer
BIOVIA —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
Analog Mixed-Signal IC Design Engineer – Data Converters (ADC/DAC), Staff - Cambridge, UK
Qualcomm —Cambridge
- Doctoral degree
- Engineering
- Master's degree
12d
Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
Scientific Data Management Lead
Pharmaron —Hoddesdon
- Hybrid work
- Scripting
- Communication skills
Machine Learning Research Engineer, Camera Software
Apple —Cambridge
- Doctoral degree
- Computer Science
- Research
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Research
- Master's degree
Machine Learning Scientist - Quantum Chemistry
Roche —Welwyn
- Hybrid work
- Doctoral degree
- Machine learning
- Travel
Senior Machine Learning Scientist
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Communication skills
- Annual leave
- Life insurance
Quick apply

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Research Associate in Machine Learning for Materials Simulation (Fixed Term)

University of Cambridge -
Cambridge

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Job details

Fixed term contract
£34,610 - £46,049 a year
10 days ago

Qualifications

Doctoral degree
PyTorch
Research
Machine learning
Machine learning modelling
Physics

Full job description

Fixed-term: The funds for this post are available for 6 months in the first instance.

We are seeking a postdoctoral researcher to develop and apply machine learning methods to the atomistic simulation of materials, with a particular focus on amorphous and disordered systems, based in the Theory of Condensed Matter group at the Cavendish Laboratory working in the group of Dr Christoph Schran.

Machine learning interatomic potentials now make it possible to run molecular dynamics simulations at close to first-principles accuracy on length and time scales far beyond the reach of electronic structure methods. Amorphous materials are among the most demanding applications. Their properties depend on complex, porous structures, which places stringent demands on the models: they must remain reliable across a wide range of conditions, and they must be validated against properties that emerge only from large systems and long trajectories.

The role holder will develop and apply machine learning models for amorphous materials, covering the generation of reference data, model training and validation, and large-scale molecular dynamics simulations on national high-performance computing facilities. There is scope to shape the direction of the project and to collaborate with others in the Theory of Condensed Matter group and across the Lennard-Jones Centre.

Candidates should hold, or be close to obtaining, a PhD in physics, chemistry, materials science or a related discipline. A strong background in machine learning interatomic potentials, including their development, training and validation, is essential, as are strong scientific programming skills in Python and machine learning frameworks such as PyTorch. Direct experience of simulating amorphous or disordered materials is also required. Experience of generating reference data with density functional theory, of high-performance and GPU computing, or of contributing to open-source scientific software would be an advantage.

Appointment at research associate is dependent on having a PhD including those who have submitted but not yet received their PhD (in which case appointment will initially be made at research assistant and amended to research associate when the PhD is awarded).

Informal enquiries are welcomed and should be directed to: Dr Christoph Schran ([email protected]). If you have any questions about the application process, please contact [email protected].

Please quote reference KA50805 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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data science jobs in hinxton, cam

Research Associate in Machine Learning for Materials Simulation (Fixed Term)

Regulatory Data Specialist - Contract Role 12 months

Bioinformatician - Disease Gene Discovery - Inherited Mitochondrial Diseases

Scientific Data Engineer

Analog Mixed-Signal IC Design Engineer – Data Converters (ADC/DAC), Staff - Cambridge, UK

Machine Learning & AI Materials Scientist

Scientific Data Management Lead

Machine Learning Research Engineer, Camera Software

Senior Machine Learning Scientist

Machine Learning Scientist - Quantum Chemistry

Senior Machine Learning Scientist

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