Research Fellow

1 week ago


Singapore Cambridge Centre for Advanced Research and Education (CARES) Full time

**Who are we?**

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF

CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our

team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with

great opportunities for knowledge and skills development.

CARES is a partner in the Pharma Innovation Programme Singapore (PIPS). The core partners of PIPS are: The

Agency for Science, Technology and Research (A*Star), The National University of Singapore (NUS), the

Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and pharma companies

GlaxoSmithKline (GSK), MSD International GmbH (Singapore branch), Pfizer Asia Pacific, as well as Syngenta.

Within PIPS, CARES is leading a project “**From Digital Twins to Real Time AI-supported Plant Operation**”,

which aims to develop an ontological representation of physical process models relevant to manufacture of

pharmaceuticals, and link these models with a Knowledge Graph. This is a large project involving close

collaboration with pharmaceutical manufacturing companies, the group of Prof. Alexei LAPKIN in CARES and in

Cambridge, the group of Prof. Markus KRAFT in CARES and the group of Dr Lianlian JIANG in I2R A*STAR. This

specific advertisement is for **one** or **two **positions within the group of Prof. LAPKIN.

**Who are we looking for?**

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow with experience in process

models and in simulation. Specifically, experience in modelling processes related to manufacture of

pharmaceuticals, such as multiphase batch and continuous synthetic chemistry reactions, crystallization,

tableting, etc, using tools such as Matlab, gPROMS, Aspen Custom Modeller, or similar. The successful

Python.

**What skills do you have?**

Working with process modelling environments such as gPROMS, Matlab, Aspen Custom Modeller or similar.

Development of first principles models. Excellent knowledge of process modelling background and theory, such

as unit operations, mass & heat transfer models, chemical reactor design, separation processes. Ideally,

knowledge of OntoCAPE and process ontologies. Ideally, coding experience and some experience of using ML in

process development.

**When is position available and for how long?**

The position is available immediately initially as fixed-term contracts with the end-date of 31 May 2025. The

position beyond the current Digital Twins project.

**What can we offer you?**

A stimulating working-environment with friendly, highly motivated colleagues.

Opportunities to develop and implement new ideas in a creative environment.

A competitive salary in line with your skills and experience.

A one-year contract in the first instance, extendable following satisfactory performance.

A comprehensive medical insurance cover as part of your employment.

Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

To apply, please send your CV and cover letter (summarising the most relevant skills and experience that you


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