Senior Lecturer​/Associate Professor in Predictive In Vitro Models

Senior Lecturer/Associate Professor in Predictive In Vitro Models

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The University of Surrey is an international University with a world class teaching and research profile that is innovative, forward thinking and achieving notable results. Our research seeks to address global challenges, drive innovation, and deliver real-world impact. In the most recent UK Research Excellence Framework (REF
2021), our research was ranked in the UK top 20 for research outputs. The University offers excellent multidisciplinary facilities within which to advance your career. In the School of Veterinary Medicine, you will have the opportunity to work with experts from world class NHS hospitals and veterinary institutes.

We are seeking to recruit a Senior Lecturer or Associate Professor (Reader) in Predictive In Vitro Models to strengthen the University's leadership in technology-driven biomedical research and advance our advance the 3

Rs agenda. As a Senior Lecturer/Associate Professor, you will be expected to develop and lead a significant externally funded programme of research in line with the Faculty of Health and Medical Science's mission of sustainably improve the health and wellbeing of humans and animals, and their environments through new knowledge and its application to the design, development and delivery of responsible innovation and impact.

Within the School of Veterinary Medicine, you will join the Section of Molecular Cellular Medicine within the Discipline of Comparative Biomedical Sciences. In the role you will:

• Establish and lead a sustainable research group, developing complex, multi-organ in vitro models for predictive disease research
• Work collaboratively with other researchers in the School to design and develop applications of in vitro models in their research areas
• Generate high quality publications and demonstrable impact
• Secure significant external research income to support the work of your research group
• Foster cross-disciplinary collaborations, including in silico modelling e.g. digital twins
• Enhance industry engagement and translational research impact.
• Mentor postgraduate research students and postdoctoral fellows
• Make high quality, research-led contributions to undergraduate and postgraduate teaching within the School, including on the RCVS-accredited BVMSci veterinary degree course.

Our Senior Lecturers and Associate Professors play an important role in advancing research and innovation and influencing the future of the veterinary profession. As such, you will have:

• Proven track record in technology-driven in vitro model development.
• Evidence of real-world application of models across multiple research fields.
• Ability to contribute to 3
  
  Rs objectives in cancer, pain, vascular and gut research.
• A proven track record of substantial external research grant income generation
• A proven commitment to delivery of inspiring, engaging learning and teaching at undergraduate and postgraduate level
• Experience in silico modelling collaborations to enhance predictive power and a strong track record of cross-sector partnerships (academia, industry, regulatory bodies) are desirable.

When completing the online application form, we would welcome: a cover letter (no more than 2 pages), your CV and a brief supporting statement/ vision document (no more than 3 pages) outlining your intended five-year research plan.

Informal enquiries can be made to Dr Martha Betson, Head of Department, Comparative Biomedical Sciences () or Dr Giovanna Nalesso, Associate Head, Research and Innovation ().

We wish to create the conditions for success for our new starters in the Vet School, by facilitating their growth and development within our institution. To achieve this, we have established the following guiding principle for all new staff members who are on a local/Guildford contract, effective for all new starters.

New staff into this post are expected to be physically present on campus for a minimum of four days each week during their initial four to six months of employment. This requirement is adjusted on a pro-rata basis for part-time staff members.