Location: | Coventry, University of Warwick |
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Salary: | £46,485 to £55,295 per annum. |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 26th February 2025 |
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Closes: | 12th March 2025 |
Job Ref: | 2568 |
About the Role
For informal queries, please email Siddartha Khastgir (Professor - Research Focused) at s.khastgir.1@warwick.ac.uk.
This role will involve conducting in-depth research and development activity field of Data Science and Data Analytics for automated driving projects.
This role will include using various latest Machine Learning algorithms, in addition to methods like cluster analysis, regression, market basket analysis, etc.) to analyse data related to the automated vehicles’ real-world and simulation data, identifying trends.
The role will also include working with various types of data (e.g., accident data, insurance claims data, sensor data, real-world and simulation data) for scenario generation and safety metrics.
You will be expected to build scalable machine learning pipelines for robust analysis.
Successful candidate will be exposed to a variety of academic and industrial partners through a number of our research projects like Horizon Europe funded SUNRISE, SYNERGIES, EVENTS, i4Driving, and UKRI / Innovate UK / CCAV funded, UKRI Future Leaders Fellowship, DriveSafeAI.
We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so.
About You
Ideal candidate would have extensive experience in Tensorflow, MATLAB, Python software development and use of data science libraries such as pandas, numpy, scipy, bokeh, etc.
You will be expected to have very strong mathematical and statistical skills and significant experience in handling large datasets in industrial projects.
Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages. You will be routed to this when you click on the 'Apply' button.
CLOSING DATE: Wednesday, 12th March 2025 at 11.55pm.
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