Research Assistant/Associate

Firm description:

We’re a world class research-intensive college. We ship instructing and studying of the very best high quality. We play a number one function in financial, social and cultural growth of the North East of England. Attracting and retaining high-calibre individuals is prime to our continued success.

Job description:

The Function

The Microsystems Analysis Group is in search of a motivated Analysis Assistant/Affiliate to help the College of Engineering’s EPSRC undertaking “UKRI-RCN: Exploiting the dynamics of self-timed machine studying {hardware} (ESTEEM)”.

The Microsystems Group is outstanding within the UK. It has a world popularity for world-leading analysis throughout microelectronics design and pc methods engineering with ten educational members, 10+ Analysis Assistants/Associates and 30+ PhD college students.

This undertaking will examine alternatives for bettering efficiency and power effectivity in synthetic intelligence {hardware} created by the inherent time and energy elasticity of self-timed circuits. The undertaking will lay basis to a brand new design methodology for constructing digital units and methods with machine studying (ML) capabilities on the micro- and nano-scale granularity. These units can be extensively leveraged in lots of at-the-edge purposes resembling environmental sensors, visitors screens, wearables, as effectively potential commodity ML-enhanced units that can be utilized as constructing blocks in pc methods of the long run. The undertaking outcomes in concept and design methodology can be validated via in depth simulations, prototyping, IC fabrication and testing, and, finally, by way of an embodiment of the brand new {hardware} options right into a concrete Web of Issues (IoT) utility. A very difficult and breaking by validation would be the growth and fabrication of the primary asynchronous machine studying built-in circuit utilizing versatile substrates.

Inside the undertaking, the nominated candidate will work on each features, the machine studying {hardware}, each coaching and inference, and self-timed IC design and check.

The nominated candidate will carry out duties beneath the steering of the Principal Investigator and three Co-Investigators, work carefully with a multidisciplinary crew, exterior educational companions and industrial companions (PragmatIC, Cambridge Future Tech).

To search out out extra concerning the College of Engineering click on right here

To search out out extra concerning the College of Science, Agriculture and Engineering click on right here  

We’re dedicated to constructing and sustaining a good and inclusive working surroundings and we might be glad to debate preparations for versatile and/or blended working. Moreover, the publish is eligible for blended working between campus and residential. 

For additional info together with the important and fascinating standards or to use, click on the ‘Apply’ button above.

For casual enquires please contact Professor Alex Yakovlev [email protected]

Key Accountabilities

  • Utilise Asynchronous design strategies, Digital Design Automation instruments, Machine studying fashions for designing power environment friendly and low latency AI {hardware} in at-the-edge purposes
  • Work on the totally different duties within the analysis undertaking to generate deliverables in a well timed method and meet the undertaking targets
  • Present lively mental contributions to the analysis undertaking by methods of, e.g., planning for implementation, producing new concepts, interacting with industrial companions and conducting lab experiments
  • Put together clear, well-written reviews and draft scientific papers to fulfill the necessities of high-impact journals on time based on the undertaking timeline set out by the Investigators crew
  • Current analysis findings at conferences or by publications in respected shops acceptable to the self-discipline

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