The Department of Engineering's Laing O'Rourke Centre is seeking a motivated Research Assistant/Associate to join our team in advancing data science for construction productivity.
The researcher's responsibilities will include the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity measurement in construction.
The skills, qualifications and experience required to perform the role are:
Hold (or be close to obtaining) a PhD in Computer Science, Civil Engineering, Data Science, Information Systems, or a related field.
Strong analytical and critical thinking skills.
Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor-based data.
Experience in automated collection of unstructured and structured data in different formats, and translating these into a standard format for analysis, interpretation, and dashboard development.
Experience of working with industry partners is desirable.
Excellent English language proficiency.
Excellent verbal and non-verbal communication skills including the ability to write concise and well-presented text in academic papers and/or industry reports.
Evidence of working collaboratively in multidisciplinary teams and able to liaise and work with a full range of the Laing O'Rourke Centre stakeholders including academics and industry.
The Laing O'Rourke Centre supports flexible work arrangements. Core working time at the Centre based in the West Cambridge Civil Engineering offices to build team collaboration is expected.
Salary ranges:
Research Assistant: £33,002 - £35,608; Research Associate £37,694 - £46,049.
Fixed-term: The funds for this post are available for 12 months in the first instance.