Digital Twin Manager

Job reference:
BAS 21/138
Contract type:
Full Time
Duration:
Fixed-Term (until March 2023)
Salary:
£39,748 - £50,790 per annum
Benefits:
We offer generous benefits
Team:
British Antarctic Survey
Location:
Cambridge
Closing date:
31 October, 2021 11:59 pm

Description

The British Antarctic Survey’s Artificial Intelligence Lab is looking for a Software Engineer, to join a team working on the initial stages of a Digital Twin of the Royal Research Ship Sir David Attenborough.

Who we are

British Antarctic Survey (BAS) delivers and enables world-leading interdisciplinary research in the Polar Regions. Its skilled science and support staff based in Cambridge, Antarctica and the Arctic, work together to deliver research that uses the Polar Regions to advance our understanding of Earth as a sustainable planet. Through its extensive logistic capability and know how BAS facilitates access for the British and international science community to the UK polar research operation. Numerous national and international collaborations, combined with an excellent infrastructure help sustain a world leading position for the UK in Antarctic affairs.

British Antarctic Survey is a component of the Natural Environment Research Council (NERC). NERC is part of UK Research and Innovation www.ukri.org We employ experts from many different professions to carry out our Science as well as to keep the lights on, feed the research and support teams and keep everyone safe! If you are looking for an opportunity to work with amazing people in amazing places, then British Antarctic Survey could be for you. We aim to attract the best people for those jobs.

Purpose

The initial focus will be to work with the marine engineers and data managers responsible for instrumentation on board the ship, to identify the available data streams and storage, and make them accessible to the AI researchers. Thereafter, the role will be responsible for managing communications and coordination between the AI Lab and the on-board team. The successful candidate will join the BAS AI Lab, contributing to its ongoing activities and to the development of the AI Lab community. Candidates will be experienced software engineers with experience working in project management, data pipelining and system integration.

Qualification

Project management experience in a relevant field

Duties

  • To help to coordinate activities and scope the project of building a Digital Twin of the RRS Sir David Attenborough.
  • To liaise with the marine engineers, the Polar Data Centre, IT department and BAS AI Lab in support of the project goals
  • Undertake other duties as appropriate as requested by the BAS Director.

The above list is not exhaustive, and the job holder is required to undertake such duties as may reasonably be requested within the scope of the post. All employees are required to act professionally, co-operatively and flexibly in line with the requirements of the post and UKRI


Please quote reference for any queries: BAS 21/138
Publication date: 8 October 2021
Closing date for receipt of application forms is: 31 October 2021
Interviews are scheduled to be held on: 18 November 2021

At BAS, our vision is to be a world-leading centre for polar science and operations. Making our vision a reality depends on the excellence and diversity of our staff. We are committed to creating a workplace where all our staff can flourish and succeed. BAS is a Disability Confident employer, we are proud to hold a bronze Athena Swan award and we are a member of enei, the Employers Network for Equality & Inclusion.

We appreciate the importance of achieving work-life balance and support this with a number of family and carer-friendly policies. Plus a flexible working policy for those who may wish to amend their working pattern or arrangement.

Skills are listed as either Essential or Desirable. Desirable skills importance rating in parenthesis (1 is high, 5 is low)

Communication skills

  • Excellent written and verbal communication skills - Essential
  • Experience in the visual representation of quantitative data - Desirable [2]

Computer / IT skills

  • Good programming skills in (e.g.) Python, C++, Java etc. - Essential
  • Contribution and engagement with open-source software communities - Desirable [2]

Decision Making

  • Able to make decisions independently and as part of a team - Essential

Interpersonal skills

  • Experience in working collaboratively - Essential
  • Ability to foster an innovative and creative environment for research - Desirable [2]

Numerical ability

  • Good mathematical knowledge - Essential
  • Basic statistical knowledge - Desirable [2]

Other Factors

  • Willingness to be flexible and responsive to changing requirements - Essential
  • Record of ongoing development of technical skills and knowledge - Desirable [2]

Qualifications

  • Project management experience in a relevant field - Essential

Resource Management ability

  • Self-motivated, independent and resourceful - Essential

Skills / Experience

  • Data pipeline and integration experience - Essential
  • Strong programming and software engineering background and experience - Essential
  • Familiarity with version control tools e.g. Git. - Essential
  • Experience of working in an AI context - Desirable [2]
  • Knowledge of AI methods and modelling approaches - Desirable [2]

In order to apply, please complete and upload all the application forms listed below. If you experience any issues in uploading your Application Form, please email us your complete application, making reference to the job reference and title.

If you are an EU, EEA or Swiss citizen, please visit this website before applying.

Apply Online:


Apply by post:

Due to the COVID-19 outbreak, the Recruitment team is working remotely and cannot access the building. If you would like to apply for this job but cannot apply online, please contact us: [email protected]

If you need more information

Email
[email protected]
Telephone:
+44 (0)1223 221400
Facsimile:
+44 (0)1223 362616

The information you provide during the application process will only be used for the purpose of progressing your application, to fulfil legal or regulatory requirements where necessary or, in the case of the Equal Opportunities Monitoring Questionnaire, to help BAS meet its equal opportunities policy.

The British Antarctic Survey will not share the information you provide with any third parties, and the information will be held securely by the British Antarctic Survey whether the information is in electronic or physical format. Please note that the Equal Opportunities Monitoring Questionnaire will be detached from your application prior to the short-listing of candidates for interview.

Unsuccessful applications will be securely destroyed 6 months after the end of the recruitment process (or 1 year after the end of the recruitment process in the case of Marine Staff and AEP. The applications of successful applicants will be retained as part of their personnel file.

Further information can be found in the information notice of NERC, our parent body.