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Green and digital continuous-flow pharmaceutical manufacturing

Project description

Training for green and digital pharmaceutical manufacturing

The European pharmaceutical industry is facing a significant challenge in greening and digitalising its manufacturing processes. A shortage of trained engineers and scientists hampers progress in this area. In this context, the EU-funded GreenDigiPharma project will produce a cohort of 10 highly skilled and trained PhD graduates who will spearhead the green and digital transformation of pharmaceutical manufacturing in both academic and industrial settings. The project will focus on pressing issues in sustainable manufacturing and explore greener methods for producing pharmaceutical products, incorporating innovative technologies such as heterogeneous nanocatalysts and biocatalysis, novel purification techniques and digitalisation tools. The GreenDigiPharma programme will also provide the early stage researchers with scientific and transferable knowledge on intellectual property rights, entrepreneurship, data management and innovation.

Objective

Greening and digitalizing pharmaceutical manufacturing is one of the grand challenges of Europe's pharma-industry. It offers a significant opportunity to boost productivity, improve competitiveness and reduce the industry large environmental footprint. Current progress is impaired by shortage of trained engineers and scientists, who can design green and digital pharmaceutical processes.

This MSCA doctoral network will focus on addressing these skills gaps, delivering a cohort of highly-skilled and trained PhD graduates that will lead the green and digital transformation of the pharmaceutical manufacturing, both in academic and industrial environments. The consortium brings together 7 universities, 1 research center, and additional 11 associated members from academia and industry. This will address urgent topics in continuous green manufacturing and develop greener routes to prepare pharmaceutical products, promoting the adoption of novel technologies (flow synthesis instead batch methods, heterogeneous nano and biocatalysis in lieu of homogeneous catalysts, renewable carbon sources, novel purification methods, digitalization tools) for sustainable manufacturing.

Specific PhD topics for 10 ESRs have been outlined. The research and training programme will equip the ESRs with key scientific and transferable skills, such as IPR, entrepreneurship, data and innovation management. The consortium strong track record in the management of interdisciplinary research and training will ensure effective and timely training of the next-generation leaders of Europe’s pharma-industries. The exposure to academic and industry sectors will also provide the researchers with unparalleled career opportunities.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2021-DN-01

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Coordinator

POLITECNICO DI MILANO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 518 875,20
Address
PIAZZA LEONARDO DA VINCI 32
20133 Milano
Italy

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Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (6)

Partners (11)

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