Research Fellow FP)

## Opportunity Review: Research Fellow - Personalised Healthcare Digital Twins This review provides a detailed look at the Research Fellow position within the School of Electronics and Computer Science (ECS) at the University of Southampton, focusing on the advantages and key considerations for potential candidates seeking to advance their careers in a cutting-edge field.

This two-year fixed-term position offers a compelling opportunity for ambitious researchers to immerse themselves in the rapidly evolving domain of Personalised Healthcare Digital Twins. At its core, the role is centred around the design and development of advanced Artificial Intelligence and Machine Learning (AI/ML) methods. The ultimate goal is to seamlessly integrate multimodal health data, paving the way for more accurate personalised predictions and informed decision-making in healthcare settings.

Key Advantages for Candidates:

• Pioneering Research Area: You will be at the forefront of Artificial Medical Intelligence, a field with immense potential for innovation and societal impact.
• Real-World Clinical Impact: This role emphasizes a strong connection between academic research and practical healthcare applications. Collaboration with leading clinical partners at University Hospital Southampton, including esteemed professionals like Dr. Sofia Michopoulou and Professor Chris Kipps, ensures your work will have tangible benefits.
• Academic & Professional Development: The position actively encourages and supports your professional growth. You will be empowered to present your findings at international conferences, publish in high-impact journals, and engage with both academic and clinical communities, significantly enhancing your research profile.
• Exceptional Research Environment: The University of Southampton is globally recognized, boasting world-class research facilities and a vibrant, interdisciplinary atmosphere within the School of Electronics and Computer Science (ECS). With over 550 researchers, ECS is a hub of innovation and collaboration.
• Supportive and Inclusive Culture: ECS is committed to fostering a positive and supportive work environment. The Athena SWAN bronze award highlights their dedication to gender equality in science and engineering. They also offer flexible working arrangements and robust support systems, including staff development programmes and a unique mentoring and wellbeing scheme.
• Comprehensive Benefits: Beyond the academic and professional advantages, the University offers a generous benefits package, including onsite childcare, a contributory pension scheme, ample holiday allowance, subsidised fitness facilities, and various discount schemes, contributing to a healthy work-life balance.

Key Considerations for Candidates:

• Career Stage: This role is ideal for researchers who are nearing completion of or have recently obtained a relevant PhD qualification. The title of Research Fellow will be awarded upon PhD completion, with a Senior Research Assistant title given prior to qualification. This offers a clear progression path.
• Interdisciplinary Skills: Success in this role will require a strong foundation in AI/ML, coupled with an ability to work effectively at the intersection of technology and healthcare. An interest in understanding and integrating diverse health data sources is crucial.
• Research Output Focus: The expectation is for active engagement in disseminating research through publications and conference presentations, demanding a proactive approach to academic output.
• Fixed-Term Contract: While the role provides an excellent springboard, it is a two-year fixed-term position. Candidates should consider their long-term career goals and how this opportunity fits within their broader trajectory.
• Application Requirements: Applicants are required to submit a CV and a detailed cover letter that clearly articulates how their skills and experience align with the specific requirements of the role.

In summary, this Research Fellow position presents an exceptional opportunity for a driven and talented individual to contribute meaningfully to a critical and expanding field. The blend of cutting-edge research, strong clinical partnerships, and a supportive institutional environment makes this an attractive prospect for those looking to make a significant impact in personalised healthcare through AI.