Job Description

Requirements

• We are seeking candidates who are capable of combining machine learning
• statistical
• and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments
• generating and testing statistical hypotheses
• training and interpreting predictive models
• and developing novel models and methods). Additionally
• candidates should be capable of visualizing and communicating findings to a broad scientific audience
• as well as explaining the details of relevant methods to researchers in a variety of domains.
• Desirable experience that is not required
• but will be considered very favorably:
• deep learning
• reinforcement learning
• Bayesian statistical modelling
• other types of modelling of human/animal learning and decision-making
• neuroimaging data processing/ analysis (any MRI modality
• MEG
• or EEG)
• other types of neural data (e.g. neural recording
• calcium imaging)
• in the context of substantial research projects
• ideally having led to submitted or published articles.
• Finally
• you should have demonstrable experience programming in languages currently used in data-intensive
• scientific computing
• such as Python
• MATLAB or R. Experience with handling large datasets in high performance computing settings is also very valuable. Although this position requires a Ph.D. in a STEM discipline
• we will consider applicants from a variety of backgrounds
• as their research experience is the most important factor. Backgrounds of team members include computer science
• statistics
• mathematics
• and biomedical engineering.