Research Associate AI for Neurotechnology (AP

## Explore an Exciting Opportunity in AI-Driven Neurotechnology at the University of Bath This Research Associate position, part of the prestigious UKRI Turing AI Acceleration Fellowship project, offers a compelling chance to contribute to cutting-edge neurotechnology research at the University of Bath. Led by Professor Damien Coyle, this initiative is at the forefront of developing next-generation AI methods to translate electrophysiological signals into control signals for Brain-Computer Interface (BCI) technologies. The project's ambition extends to large-scale trials with end-users, aiming to drive the development of robust, wearable neurotechnologies.

This role is a fantastic avenue for researchers with established expertise in neural signal processing and AI/machine learning, specifically in the analysis, classification, and decoding of high-resolution electroencephalography (EEG) data. Working alongside Professor Coyle and the wider Turing AI Fellowship team at the Bath Institute for the Augmented Human, you will play a pivotal role in shaping the future of BCIs.

As a Research Associate, you will be instrumental in:

• Designing and implementing novel AI models and algorithms: This is your chance to innovate and apply your theoretical knowledge to practical, impactful solutions.
• Contributing to the planning and execution of research experiments: Gain hands-on experience with human participants, understanding the nuances of real-world data collection.
• Managing and analysing large, complex datasets: Develop your skills in handling and extracting meaningful insights from intricate scientific data.
• Developing software and prototyping real-time AI solutions: Bridge the gap between research and application by building functional prototypes.
• Publishing results in high-impact journals and conferences: Enhance your academic profile and contribute to the global scientific discourse.
• Collaborating with a multidisciplinary team: Work alongside AI researchers, engineers, neuroscientists, psychologists, trials managers, and neuroimaging experts, fostering a rich and diverse learning environment.

The overarching goal of this project is to advance novel AI approaches and demonstrate their efficacy in large-scale trials. This work has the significant potential to transform neurotechnology, enabling more reliable BCIs, accelerating clinical translation for rehabilitation, and contributing to the broader vision of safe and effective human augmentation. This is an opportunity to be part of a project that could genuinely change lives.

This 4-month fixed-term post is ideal for a motivated researcher seeking to make an immediate and meaningful contribution. It’s a prime opportunity to:

• Strengthen your profile in AI for neurotechnology: Gain invaluable experience and build a strong portfolio through impactful short-term work.
• Quickly get projects off the ground: The role demands a proactive approach, allowing you to take ownership and drive research forward rapidly.
• Leverage strong technical expertise: This position is tailored for individuals with a solid foundation in AI/ML research, particularly deep learning frameworks like Keras, PyTorch, or TensorFlow.
• Develop cutting-edge skills: Opportunities exist to work on AI model development for complex, noisy datasets, software optimisation for high-performance computing, and potentially even VR/AR applications for BCIs.
• Be part of a dynamic research environment: The University of Bath fosters a culture of innovation and collaboration.

As a member of the Research Staff at the University of Bath, you will also benefit from encouragement towards professional development, with a minimum of 10 days pro rata per year allocated for this purpose. The university is committed to diversity and inclusion, offering a supportive and welcoming environment for all its staff.

• Fixed-Term Contract: The role is for a duration of 4 months. Candidates should be aware of this timeframe and consider how it aligns with their career goals.
• Travel Requirements: The position may involve domestic and international travel, potentially including occasional extended stays off-campus. Candidates should be prepared for and comfortable with these arrangements.
• Fast-Paced Environment: The emphasis is on making a quick and meaningful contribution. This role is best suited for individuals who thrive in a dynamic setting and can deliver high-quality research outputs within a compressed timeline.
• Technical Focus: A strong background in AI/ML, neural signal processing, and ideally experience with specific deep learning platforms and software optimisation, will be crucial for success.

This role presents a unique chance to immerse yourself in a cutting-edge research project with tangible real-world applications. If you are a driven researcher eager to make a significant impact in the rapidly evolving field of neurotechnology, this opportunity at the University of Bath is certainly worth exploring.