other robotic middleware. Integration and selection of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition, onboard processing, and underwater communication More ❯
What should you bring along? The candidate should be studying an IT, Business or Engineering related degree working towards a 2:2 or higher. Knowledge of different machine learning algorithms and experience implementing them in code. Knowledge of data analysis and data mining techniques, and experience implementing them in code. Expertise in using programming tools such as Python, MATLAB, R More ❯
oxford district, south east england, united kingdom Hybrid / WFH Options
PQShield
background in UVM-based verification at IP and subsystem levels. - Proficiency in Python for tool development and automations. - Practical formal verification experience, beyond app-based use. Knowledge of cryptographic algorithms (AES, SHA< ECC, etc.) and hardware/software security concepts.- Software-oreinted thinking (C/C++ or scripting languages) for HW/SW co-verification. - Demonstrated leadership in planning and More ❯
Salary: £56,509 (Band E S1) gross per annum Contract Type: Up to 2x Permanent Positions Hours: Full Time (We understand the importance of work-life balance, and are happy to discuss the possibility of flexible working with applicants) Location More ❯
ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI/ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Work More ❯
