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10 дней назад

Knowledge Transfer Partnership Associate in Advanced and Digitalised Construction

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Knowledge Transfer Partnership Associate in Advanced and Digitalised Construction (Advanced Manufacturing): Developing simulation models and optimisation strategies for digitalised prefabrication processes in low-cost housing with an accent on safety, productivity, and environmental sustainability. Focus on validating dynamic construction-site models, designing efficient task allocation, and translating research findings into industry reports, publications, and workshops.

Location: Oxford Road, Manchester, United Kingdom

Company

hirify.global is partnering with Patented Housing Ltd on a 36-month Knowledge Transfer Partnership focused on advanced manufacturing and digitalised prefabrication for low-cost housing.

What you will do

  • Develop and validate simulation models that replicate dynamic prefabricated construction sites.
  • Identify process inefficiencies and safety risks, and develop design mitigation strategies aligned with industry standards.
  • Design task allocation strategies to improve safety, productivity, and environmental sustainability.
  • Collaborate with academic and industry stakeholders to refine models, strategies, and project outputs.
  • Publish research findings, prepare industry reports, and lead project workshops.

Requirements

  • PhD or equivalent in Mechanical Engineering, Aerospace Engineering, Electrical and Electronics Engineering, Computer Science, Digital Construction, or a related discipline.
  • Experience modelling, simulating, and optimising industrial workflows and processes, particularly in advanced manufacturing or prefabricated construction.
  • Proficiency in systems design and optimisation, programming, and practical implementation.
  • Strong knowledge of simulation methodologies.
  • Excellent communication and interpersonal skills.

Nice to have

  • Familiarity with machine learning algorithms and artificial intelligence in advanced manufacturing.
  • Understanding of organisational psychology in advanced manufacturing and prefabricated construction.
  • Knowledge of construction workflows, equipment, and safety protocols.
  • Experience with IoT devices, digital twins, and sensors for construction manufacturing applications.
  • Experience mentoring or supervising workers, junior researchers, or students.

Culture & Benefits

  • Generous employer pension contribution.
  • 29 days of annual leave plus bank holidays and a Christmas closure.
  • Ride-to-work and electric vehicle schemes.
  • Flexible and hybrid working information is available through the university.
  • An environment focused on education, learning, community, diversity, enquiry, and open debate.

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