Project Description:

• Collaborate with the research and development team to understand project requirements and objectives.

• Assist in collecting and processing RTK GNSS, surveying, IMU, INSAR, and other relevant data from monitoring sites.

• Contribute to the design and implementation of AI and ML algorithms for analyzing and interpreting structural health and environmental data.

• Develop and optimize predictive models for detecting anomalies, assessing risks, and predicting potential failures in structures and environmental systems. Conduct experiments, analyze results, and provide insights to improve the performance and accuracy of monitoring systems.

• Document research findings, methodologies, and algorithms for internal knowledge sharing and future reference.

• Stay up-to-date with the latest advancements in AI, ML, SHM, and EM technologies through literature review and continuous learning.

• Find out more about SPIN and explore FAQs here.

Applicant Specification:

• Ideally Currently enrolled in a graduate program (Master’s or PhD) in Computer Science, Electrical Engineering, Civil Engineering, Environmental Engineering, or a related field. A strong candidate enrolled in an undergraduate (such as a 4 year programme) may also be considered.

• Strong background in machine learning, statistics, signal processing, and/or data science.

• Proficiency in programming languages/environments such as Python and/or MATLAB

• Some familiarity with geospatial data analysis and processing techniques.

• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn is a plus.

• Excellent analytical and problem-solving skills with attention to detail.

• Ability to work independently as well as part of a collaborative team.

• Good communication skills and ability to present complex technical concepts clearly and effectively

Minimum requirements:

• Passion and enthusiasm

• Working towards a degree-level qualification

Process details:

• 8 weeks minimum fixed term contract to be agreed with successful candidate

• In-person Induction Event to be held on [date], and an in-person/hybrid Showcase Event to be held at the [place/date]

• 5 days holiday to be taken during the placement

How we work:

We strive to create a high trust environment that enables team members to bring their whole selves to work – this helps to create the foundations of an innovation culture. Our shared values are critical to this:

• We care - for our people, our partners, and our planet

• We connect - and engage with people and ideas

• We learn - and grow, as people and as an industry

Underpinning this is our belief in great teams, our combined efforts will always deliver outcomes beyond that of any individual providing we are honest through debate, experiment and reflect, and create shared resolutions in support of our purpose. Live these values, work to our principles, take ownership to deliver, and we are certain you will thrive with us.

This job description set outs the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you didn’t tick.