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- Tasks: Lead a research group in data-centric construction and manage industry partnerships.
- Company: Join a prestigious team at Cambridge focused on innovative construction research.
- Benefits: Engage in high-quality teaching, publish in top journals, and secure research funding.
- Why this job: Make an impact in construction while collaborating with industry leaders and fellow researchers.
- Qualifications: PhD in relevant field, strong research track record, and excellent communication skills required.
- Other info: Ideal for those passionate about teaching and advancing data-centric construction.
The predicted salary is between 48000 - 72000 £ per year.
The key responsibilities and duties associated with this post include leading and managing a research group focused on data-centric construction, encompassing data acquisition (e.g. sensing, monitoring) and/or data engineering/science, develop and maintain strong partnerships with industry stakeholders to promote the exploitation of research outputs and team capabilities and to share ‘best practice’ skills, assisting with the development and delivery of high-quality teaching, publishing research findings in leading academic journals, securing external research funding to support and initiate new complementary research initiatives, assisting with the supervision and general management of the CSIC team, and networking with other research centres both within Cambridge and beyond.
The skills, qualifications and experience required to perform the role include (i) a PhD in construction/civil/information engineering or a cognate discipline, (ii) a track record in data-centric construction, (iii) some experience of applying for research funding, (iv) excellent communication skills at all levels, (v) commitment to a ‘gold-standard’ research culture, (vi) a track record of the highest quality research, (vii) willingness to supervise research students, (viii) commitment to teaching, and (ix) a demonstrable interest in working with industry.
Additionally, the candidate should demonstrate: (1) high-quality research output: preferably first author on at least 4 papers in the past 2-3 years, or similar. The level of four publications is the lowest possible limit at which an appointment could be credible; (2) independence: including helping manage a group, partly running a research project, (co-)supervising students etc; (3) strong supporting references.
Appointment at Senior Research Associate level is dependent on significant experience as a postdoctoral research associate or equivalent post-PhD experience, with proven impact from authored publications.
If you have any questions about this vacancy, please contact Dr Brian Sheil (bbs24@cam.ac.uk) for queries of a technical nature related to the role or Jessica Krishan csic-admin@eng.cam.ac.uk for queries related to the application process.
Senior Research Associate in Data-Centric Construction (Fixed Term) employer: University of Cambridge
Contact Detail:
University of Cambridge Recruiting Team
bbs24@cam.ac.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Associate in Data-Centric Construction (Fixed Term)
✨Tip Number 1
Make sure to highlight your experience in data-centric construction during networking events. Engaging with industry stakeholders can help you establish valuable connections that may lead to collaborative opportunities.
✨Tip Number 2
Attend conferences and workshops related to construction and data engineering. This will not only enhance your knowledge but also allow you to meet potential collaborators and gain insights into current trends in the field.
✨Tip Number 3
Consider reaching out to current or former members of the CSIC team. They can provide you with insider information about the team's culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Stay updated on funding opportunities relevant to your research area. Being proactive in identifying potential grants can demonstrate your commitment to securing external research funding, a key requirement for this role.
We think you need these skills to ace Senior Research Associate in Data-Centric Construction (Fixed Term)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your PhD and any postdoctoral experience in construction, civil, or information engineering. Detail your track record in data-centric construction and any relevant research projects you've led.
Showcase Research Output: Clearly list your publications, especially those where you are the first author. Aim to include at least four high-quality papers from the last 2-3 years to demonstrate your research impact.
Demonstrate Funding Experience: Include any experience you have with securing research funding. Highlight specific grants or funding applications you've been involved with to show your capability in this area.
Communicate Your Teaching Commitment: Discuss your commitment to teaching and any experience you have in supervising students. This is crucial for the role, so be sure to provide examples of your teaching philosophy and methods.
How to prepare for a job interview at University of Cambridge
✨Showcase Your Research Impact
Be prepared to discuss your previous research projects in detail, especially those that led to high-quality publications. Highlight your role as a first author and the impact of your work on the field of data-centric construction.
✨Demonstrate Industry Engagement
Discuss your experience in building partnerships with industry stakeholders. Share specific examples of how you've promoted research outputs and best practices in collaboration with industry.
✨Prepare for Funding Discussions
Since securing external research funding is crucial, be ready to talk about your past experiences applying for grants. Outline successful strategies you used and any lessons learned from unsuccessful applications.
✨Emphasize Teaching Commitment
Highlight your teaching philosophy and any relevant experience you have in delivering high-quality education. Be prepared to discuss how you plan to contribute to the teaching aspect of the role and support research students.
