Cambridge CARES is a research centre sponsored by the NRF CREATE program, "CAM.CREATE" in Singapore. The research programme Cambridge Centre for Carbon Reduction in Chemical Technology (C4T) is a joint Cambridge, NTU, and NUS research activity within Cambridge CARES.
A post-doctoral research associate position is available in the Cambridge CARES C4T programme, at the Department of Chemical Engineering and Biotechnology, at the University of Cambridge under the supervision of Prof. Markus Kraft. The project aims at investigating the formation of flame-made nanoparticles and the deposition of such particles to fabricate functional nanostructured layers. Initially, experiments will focus on elucidating the mechanism of soot formation in flames and the deposition of soot on different substrates for further characterisation. The work will be extended to flame-made metal-oxides and the preparation of devices based on flame-made nanoparticles for sensing, photocatalysis, or electrochemistry. Techniques applied for the flame and nanoparticle characterisation are mobility spectrometry, thermophoretic particle densitometry, flame pyrometry, electron microscopy, FTIR, XRD, UV-Vis, and Raman spectroscopy.
Being part of a 3-member consortium will require close interaction with other researchers. Activities may include participating in research discussions with local industries and partners, overseas universities, and writing reports as required by the National Research Foundation (NRF) of Singapore. Candidates with a strong background in physics, chemistry, engineering (chemical, mechanical) and strong experimental skills are required.
Applicants must have:
1.) A PhD degree in a relevant discipline such as chemistry, physics, engineering (chemical, mechanical) with substantial experimental skills (essential).
2.) A keen interest in experimental combustion and experience in the use of particle analysis techniques (essential).
3.) An outstanding publication record in at least one of the research areas concerned (essential).
4.) Excellent oral and written communication skills (essential).
5.) Experience in designing and maintaining experimental setups (desirable).
6.) Knowledge in instrument control and data acquisition using LabVIEW (desirable).
Further information about the Computational Modelling Group can be found at https://como.cheng.cam.ac.uk.
Fixed-term: The funds for this post are available for 12 months in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Applicants should ensure their application is complete and submitted by Midnight on the closing date.
Please quote reference NQ12667 on your application and in any correspondence about this vacancy.
The University values diversity and is committed to equality of opportunity.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.