PhD Studentship, Radiation-Hard Electronics

Southampton, United Kingdom
£15,609 tax-free per annum for up to 3.5 years
14 May 2021
End of advertisement period
31 Aug 2021
Contract Type
Fixed Term
Full Time

Centre for Electronics Frontiers

Location:  Highfield Campus
Closing Date:  Tuesday 31 August 2021
Reference:  1374221PN

Supervisory Team:    Dr Firman Simanjuntak, Prof Themis Prodromakis

Project description

This PhD studentship aims at developing radiation-hardened memristive artificial synapses for enabling artificial intelligence hardware accelerators in space. The conventional logic and memory technologies that are available in the market today are prone to electronic failures toward photon and particle radiations. Thanks to the memristor’s architectonic, the memristive system is intrinsically rad-hard element and brings promises for smaller, faster, and lighter electronics that are beneficial in reducing the space payload and prolonging the electronic lifespan in harsh and inaccessible environments. The students will investigate the capability of the memristors in emulating the biological synapses and the devices potential in exploiting the electrical feedback from the particle and photon radiations. The students can also study the reliability of the memristor arrays as a neuromorphic computation element and conduct real-time experiments/measurements where these memristors will be launched to space (low earth orbit). The co-integration of computing and sensing functionalities of the fabricated devices will also be explored.

Nanodevice engineering 

Focuses on the device fabrication of rad-hard artificial synapse memristor (1R) and selector (1S) stacks, their integration (1S1R) in cross-bar array configurations, and exploits their radiation tolerance and sensitivity.

Materials and/or electrical (device) modelling

Focuses on numerical analysis or simulation of the physical, chemical, and/or electrical behavior of the fabricated nanodevices to elucidate the observed phenomenon or anomaly due to radiation.

Neural network modelling

Focuses on the simulation and implementation of the fabricated devices for neuromorphic computing applications (such as image processing, pattern recognition, data clustering, etc.) and investigate the training accuracy irregularity due to the radiation damage and explore the mitigation algorithm and/or exploit such irregularity for making adaptive electronics.

The PhD student will have the opportunity to join a multi-disciplinary team and be trained and work in the world-class facilities of the Zepler Institute for Photonics and Nanoelectronics. The Centre for Electronics Frontiers will provide research experience in one of its programs, training, laboratory facilities, and access to its seminar and lectures. Students would also be encouraged to visit our collaborators’ and industry partners’ facilities (space, particle accelerator, and radiation research facilities) in the UK or abroad, as well as to attend major conferences during their period of study.

If you wish to discuss any details of the project informally, please contact Dr Firman Simanjuntak, Centre for Electronics Frontiers, Email:

Entry Requirements

A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent) or an MEng/MSc (or equivalent, or near completion) with first class honours or distinction in Electronics, Physics, Materials Science or a closely related subject, such as device physics, nanofabrication, material/device characterization, or neuromorphic engineering.

Closing date: applications should be received no later than 31 August 2021 for standard admissions, but later applications may be considered depending on the funds remaining in place.

Funding: For UK students, Tuition Fees and a stipend of £15,609 tax-free per annum for up to 3.5 years. 

How To Apply

Applications should be made online. Select programme type (Research), 2021/22, Faculty of Physical Sciences and Engineering, next page select “PhD  Nanoelectronics (Full time)”. 

 Applications should include

  • Research Proposal
  • Curriculum Vitae
  • Two reference letters
  • Degree Transcripts to date

Apply online:

For further information please contact:

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