Research Assistant/Associate in Building Stock Modelling (Fixed Term)

at  University of Cambridge

A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on BuildZero.
The post holder will be located in Central Cambridge, Cambridgeshire, UK.

The key responsibilities and duties are:

• Developing a complete characterisation of the UK building stock
• Developing dynamic stock and flow tools

• Liaising and networking with BuildZero research team and industrial partnersPlanning and organising research and reporting

The skills, qualifications and experience required to perform the role are:

• Applicants must have (or be close to obtaining) a PhD in Engineering or other relevant area
• Knowledge and experience in: Material flow analysis, environmental assessment, emissions accounting or other topics and tools of Industrial Ecology (essential), Modelling and resource analysis (essential), Use of Python, Matlab or other appropriate programming languages (essential), Familiarity with building and construction (desirable), Satellite imagery and machine learning processing (desirable).
• Collaboration and communication with industrial partners, other research institutes, and colleagues

• Evidence of potential to produce high-quality research outputs, and experience of developing own models and toolsExperience of managing own workload, sticking to deadlines and the ability to constantly update knowledge

• Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.
  Salary Ranges:
  Research Assistant: £29,605 - £33,966
  Research Associate: £36,024 - £44,263
  Fixed-term: The funds for this post are available for 24 months in the first instance.
  Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
  Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.
  Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. The covering letter should describe how your experience to date has prepared you to take on this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.
  If you have any questions about this vacancy, please contact Dr André Cabrera Serrenho at ag806@cam.ac.uk for queries of a technical nature related to this role. Please contact Laura Abraham at lia24@cam.ac.uk for queries about the application process.
  Please quote reference NM42534 on your application and in any correspondence about this vacancy.
  The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
  The University has a responsibility to ensure that all employees are eligible to live and work in the UK

The key responsibilities and duties are:

• Developing a complete characterisation of the UK building stock
• Developing dynamic stock and flow tools
• Liaising and networking with BuildZero research team and industrial partnersPlanning and organising research and reportin

The skills, qualifications and experience required to perform the role are:

• Applicants must have (or be close to obtaining) a PhD in Engineering or other relevant area
• Knowledge and experience in: Material flow analysis, environmental assessment, emissions accounting or other topics and tools of Industrial Ecology (essential), Modelling and resource analysis (essential), Use of Python, Matlab or other appropriate programming languages (essential), Familiarity with building and construction (desirable), Satellite imagery and machine learning processing (desirable).
• Collaboration and communication with industrial partners, other research institutes, and colleagues
• Evidence of potential to produce high-quality research outputs, and experience of developing own models and toolsExperience of managing own workload, sticking to deadlines and the ability to constantly update knowledg