Overview
The University of Nottingham is offering two independent fellowship positions in Computational Neuroscience. This initiative is part of a significant investment aimed at enhancing research capabilities in key areas such as cognition, perception, and mathematical biology. The fellowships are designed for a duration of three years, with the expectation that successful candidates will be well-positioned for permanent roles at the university thereafter.
Background & Relevance
Computational Neuroscience is a vital interdisciplinary field that combines principles from neuroscience, psychology, and computational methods. It plays a crucial role in understanding brain functions and developing advanced models of cognition. The ongoing advancements in this area are essential for both theoretical insights and practical applications, including the development of machine learning algorithms that mimic neural processes.
Key Details
- Positions Available: 2 independent fellowships
- Duration: 3 years
- Application Deadline: September 3rd
- Location: University of Nottingham
- Research Areas: Functional neuroimaging, neural networks, cognition models, numerical simulation, machine learning, theoretical neuroscience, innovative data analysis
- Application Link: Online Application Form
Eligibility & Participation
These fellowships are targeted at researchers with postdoctoral experience who possess a clear vision for establishing their own research group. Candidates should be prepared to work in a collaborative and interdisciplinary environment, leveraging the university’s outstanding research facilities.
Submission or Application Guidelines
To apply, candidates must complete the online application form and include a research proposal outlining their intended research direction. For any informal inquiries, interested individuals can reach out to Mark van Rossum via email at mark.vanrossum@nottingham.ac.uk or by phone at +44-115-7486851.
Additional Context / Real-World Relevance
The investment in Computational Neuroscience at the University of Nottingham reflects a broader trend in academia to foster interdisciplinary research that bridges gaps between traditional disciplines. This approach not only enhances scientific understanding but also drives innovation in technology and healthcare, making it a pivotal area of study in the current research landscape.
Conclusion
The University of Nottingham’s fellowships in Computational Neuroscience present a valuable opportunity for aspiring researchers to advance their careers in a supportive academic environment. Interested candidates are encouraged to apply and contribute to the vibrant research community at the university.
Category: PhD & Postdoc Positions
Tags: computational neuroscience, machine learning, neural networks, functional neuroimaging, data analysis, University of Nottingham, psychology, mathematical sciences
