PhD studentship: Developing digital twins to unlock zero carbon and high-value chemical manufacturing (ENG1754)

Job title:

PhD studentship: Growing digital twins to unlock zero carbon and high-value chemical manufacturing (ENG1754)

Firm

College of Nottingham

Job description

Location: UK Different
Closing Date: Friday 31 Might 2024
Reference: ENG1754Functions are invited for a three-year PhD studentship inside the Meals, Water, Waste Analysis Group within the School of Engineering, specializing in harnessing the facility of digital twins to revolutionise bioprocesses for waste remedy and high-value chemical manufacturing.Imaginative and prescient and MotivationThe chemical sector provides supplies for roughly 95% of the merchandise manufactured immediately. As of 2020, 84.5% of the chemical sector’s feedstocks come from fossil-based assets, and the sector’s reliance on fossil carbon for its feedstock and power wants makes it the UK’s second-highest industrial emitter. An pressing want exists for a round economic system method that transforms waste into high-value chemical merchandise by bioprocesses comparable to anaerobic digestion, microbial electrolysis cell, and fermentation, paving the best way in the direction of a sustainable and net-zero future.In immediately’s quickly evolving technological panorama, digital twins signify a paradigm shift in bioprocess engineering by providing real-time, predictive simulations of complicated organic programs. As a PhD candidate, you may be on the forefront of innovation, growing and implementing digital twins to simulate, optimise, and speed up bioprocess improvement. From microbial engineering to course of optimisation, your work will redefine the panorama of sustainable biotechnology.What You’ll Do

  • Design and develop digital twins tailor-made to simulate biotechnological programs for waste remedy and high-value chemical manufacturing.
  • Combine superior hybrid modelling methods with real-time information streams to create dynamic, predictive simulations.
  • Collaborate with interdisciplinary groups to validate and optimise digital twin fashions utilizing experimental information.
  • Drive innovation by exploring novel functions of digital twin know-how in bioprocess engineering.
  • Publish findings in top-tier journals and current at worldwide conferences, establishing your self as a thought chief within the area.

Who We Are Wanting For

  • First-class or equal in chemical engineering, biotechnology, pc science, arithmetic, or a associated self-discipline. A 2:1 may be thought-about if different standards are met.
  • Proficiency in programming languages (Python/MATLAB) generally utilized in machine studying functions is fascinating however studying could be accomplished in the course of the PhD.
  • Glorious communication abilities and a demonstrated potential to work collaboratively in a multidisciplinary analysis setting.
  • Ardour for sustainability and a drive to make a significant impression by scientific analysis.

Funding HelpAbsolutely funded studentship, which features a minimal tax-free stipend of £19,237, is competitively accessible for residence fee-eligible college students for an October 2024 begin. Word that the funding related to this position is awarded through an inside competitors and is subsequently solely confirmed after the admission software is authorized.Software Course of candidates ought to submit a CV, cowl letter outlining their analysis pursuits and related expertise to Dr. Oliver Fisher immediately (oliver.fisher@nottingham.ac.uk). Casual inquiries are additionally welcome. Functions will probably be reviewed on a rolling foundation, and the place will probably be crammed as quickly as an acceptable particular person has been discovered; candidates are inspired to use as quickly as attainable.The College actively helps equality, range, and inclusion and encourages functions from all sections of society. The School of Engineering offers a thriving working setting for all PGRs, creating a powerful sense of group throughout analysis disciplines. Group and analysis tradition are necessary to our PGRs, and the FoE helps this by working carefully with our Postgraduate Analysis Society (PGES) and our PGR Analysis Group Reps to boost the analysis setting for PGRs. PGRs profit from coaching by the Researcher Academy’s Coaching Programme, and people based mostly inside the School of Engineering have entry to bespoke programs developed for Engineering PGRs, together with periods on paper writing, networking, and profession improvement after the PhD. The School has excellent amenities and works in partnership with main industrial companions.

Anticipated wage

Location

United Kingdom

Job date

Fri, 01 Mar 2024 08:44:20 GMT

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