This is an opportunity for a highly creative and skilled postdoctoral researcher to work on a research programme on aversive learning, led by Dr Flavia Mancini (www.noxlab.org) at the Computational and Biological Learning Lab (https://www.cbl-cambridge.org/), Department of Engineering, University of Cambridge. The post holder will be located in Central Cambridge, Cambridgeshire, UK.
Despite its prevalence, we still don't know why chronic pain develops. This programme aims to address the unsolved question of whether learning systems in the brain contribute to both the endogenous regulation and chronification of pain. The successful candidate will strengthen and/or expand on this approach and will be responsible for designing their own experiments in collaboration with the rest of the team. The position involves close collaborations with research groups at the University of Oxford (Ben Seymour / Katja Wiech), Louvain (Liberati) and Munich (Schulz).
The key responsibilities and duties are:
- Ideating and conducting research studies on aversive learning and pain, combining behavioural learning tasks, computational modelling (using Bayesian inference, reinforcement learning, deep learning and/or neural networks) with fMRI, EEG and/or EcoG
- Running simulations and modelling large scale datasets
- Disseminating research findings
- Co-supervising of research student projects
- Maintaining and developing technical skills to expand their scientific potential.
The skills, qualifications and experience required to perform the role are:
- Obtained (or be close to obtaining) a PhD in computational or cognitive neuroscience, physics, mathematics, machine learning or a related neuroscience field.
- A strong quantitative background, with interest in both theoretical and cognitive/behavioural neuroscience.
- Demonstrable programming skills/experience, able to run simulation and modelling of behavioural/neural data using Bayesian, reinforcement learning and/or deep learning techniques.
- Specialist skills in neuroimaging methods, from data collection to analysis are desirable (ideally fMRI, but EEG/MEG, EcoG are also relevant to the post).
- A strong track record of peer-reviewed publications
- Good organisational and project management skills
- Ability to work both independently and as part of a team.
More info: https://www.jobs.cam.ac.uk/job/33683/
Thanks everyone!
|