Vacancies


202030JUN

CMAC - Funding Manager

CMAC are seeking a funding manager who will be responsible for the development of proposals and grant applications for CMAC projects where external funding and investment is sought; working with relevant stakeholders to identify relevant opportunities and sources of investment; provide expert advice in the development of the longer-term sustainability plan, particularly with regard to InnovateUK, EPSRC and EU investment; have a lead role in disseminating funding intelligence; provide expert advice on the preparation and costing of collaborative research bids; scrutinise grant agreements, support electronic submissions and liaise with external funding bodies and other collaborators.

As part of CMAC’s management team you will lead the CMAC Funding Committee working with partners to develop collaborative proposals that will grow the activities across the CMAC Hub and spokes, increase grant income, leveraging the EPSRC Hub award, create new opportunities for impact from our research and contribute to delivery of CMAC business plan. You will also be required to build engagement with SMEs across the Scottish Central Belt in order to establish networks and identify possible collaborations for translation activities.

It is envisaged that the post-holder will work with 5-10 major external proposals per annum. Knowledge of the UK manufacturing research and innovation funding landscape is crucial as will be relevant experience of the pharmaceutical sector whether from academic, industry, project management, research or knowledge exchange administration as well as higher education experience in pre-competitive collaboration technology application projects, the UK funding landscape and working with academics, innovation centres, government, technology companies, CMOs and large pharmaceutical companies. An understanding of and experience of working on pharmaceutical manufacturing research and associated innovation challenges is essential.

Closing date: 24th July 2020
Further information on this position and details of how to apply can be found at the University of Strathclyde's vacancies website.


202024JUN

University of Strathclyde - Research Associate in In-Line Process Reactor Test Bed & Sensor Development

The University of Strathclyde is seeking a research associate for an EPSRC-funded partnership with GlazoSmithKline (GSK) on the Accelerated Discovery & Development of New Medicines.

The position seeks to setup and operate test beds to assess novel reactor design performance. In addition to assessing novel reactors or test modules from other WPs the role will select and deploy appropriate sensors to achieve in line high quality data to inform the design, operation and control of key unit operations. Sensors can be selected from a range of available technologies in the CMAC and partner labs and the use of novel sensors may also be explored. Our goal is to ensure the integration of process measurements within the novel reactor design test bed to validate predicted performance and where appropriate enable real time control.

The post will join the collaborative Nottingham-Strathclyde-GSK team and will be based at the University of Strathclyde in the EPSRC Future Manufacturing Research Hub for Continuous Manufacturing and Advanced Crystallisation.

Applicants should hold a PhD or equivalenct experience in a relevant subject area, and a first degree in pharmaceutical sciences, chemical engineering, computer science, mechanical engineering or related subject. 

Further details of the position, including responsibilities and person specifications can be found in the University of Strathclyde vacancies website.

Closing Date: 23rd July 2020

202024JUN

University of Strathclyde - Research Associate in Machine Learning for Reactor Design & Optimisation

The University of Strathclyde is seeking a research associate for an EPSRC-funded partnership with GlazoSmithKline (GSK) on the Accelerated Discovery & Development of New Medicines.

This position will develop the understanding of ML/AI approaches and the data required to deliver the digital design framework to develop new and/or optimised reactor designs for processes selected by the project team during the project. The goal is to overcome the limitations in current equipment and deliver more robust, easier to operate and control processing capabilities. The candidate will have a working knowledge of computational fluid dynamics and generative design methodologies including deep generative networks to generate and assess novel reactor designs.

The post will join the collaborative Nottingham-Strathclyde-GSK team and will be based at the University of Strathclyde in the EPSRC Future Manufacturing Research Hub for Continuous Manufacturing and Advanced Crystallisation.

Applicants should hold a PhD or equivalenct experience in a relevant subject area, and a first degree in pharmaceutical sciences, chemical engineering, computer science, mechanical engineering or related subject. 

Further details of the position, including responsibilities and person specifications can be found in the University of Strathclyde vacancies website.

Closing Date: 23rd July 2020


202022JUN

The University of Sheffield - Research Associate in Digital Design of Pharmaceutical Processes

The University of Sheffield, Chemical and Biological Engineering department are seeking a research associate for an Industry Strategy Challenge Funded project - Digital Design Accelerator for Pharmaceutical Manufacture.

The project is developing and implementing mechanistic, hybrid and data driven models for pharmaceutical manufacturing processes and product performance. A workflow for using these models will be developed to accelerate the formulation and process design associated with the development of a new pharmaceutical.

Applicants should hold (or be close to completing) a PhD in a Science or Engineering discipline, or have relevant experience. Applicants will have experience with first-principles or data driven modelling for engineering design, and well developed analytical and problem solving capability to analyse the data and support decision making. Excellent communication skills and an ability to work collaboratively are also essential working on a project of this nature.

Closing date : 10th July 2020
Further information on this position and details of how to apply can be found at The University of Sheffield Careers Website.

202028FEB

PhD Vacancy: Plant-wide dynamic mathematical modelling and optimisation of integrated continuous pharmaceutical manufacturing processes

Computational tools and model-based optimisation, control and more broadly decision-making methods and applications have grown dramatically over the last decade and opened opportunities for a new generation of digital representation and simulation tools referred to as Digital Twins. A Digital Twin provides a virtual and yet a living and interactive replica of a physical system, process or product. It offers an augmented simulation and visualisation platform and expected to become a standard capability in all industries in near future. The pharmaceutical and biopharmaceutical industries are undergoing a paradigm shift with the development and adoption of more flexible regulatory tools, agile lean and cost-effective continuous manufacturing technologies as well as robust decision-making systems. There are urgent and unprecedent needs for more reliable and predictable simulation tools for model-based design, optimisation and control which came with a real transformation of the pharmaceutical job market.
 
This PhD project will look at the development and validation of new strategies to build high fidelity dynamic models and integrated digital twins of a continuous pharmaceutical processes with self-optimising capabilities. The focus of the project will be mainly modelling and simulation but also potentially experimental validation that can be conducted by the PhD student or research collaborators. This PhD Project will benefit from our strong and well-established expertise in mathematical modelling, simulation and process control. It will also be conducted as part of the Future Continuous Manufacturing and Advanced Crystallisation Research Hub (CMAC HUB), a world-class consortium involving more than 30 industrial and academic partners, including 8 Big Pharma companies (e.g. GSK, Novartis, Astra Zeneca, Roche, Pfizer). Initial studies would focus on a continuous crystallisation stage, but then the methodology would be extended to include downstream isolation steps, leading to a seamless fusion of physical and data-driven model implementations.

Primary supervisor: Dr Brahim Benyahia  (Department of Chemical Engineering)
Second supervisor: Prof Chris Rielly  (Department of Chemical Engineering)

Funding: 3 year studentship starting October 2020
  • UK/EU students: UK/EU tuition fees and the National Minimum Doctoral Stipend (£15,009 for 2020/21)
  • International students: fees only and stipend needs to be covered by a different source


How to Apply
: Applicants should send a CV, contact details of 2 references and a covering letter to Dr Brahim Benyahia, B.Benyahia@lboro.ac.uk


Industry Vacancies

Industry vacancies will be posted here when available