Open-Rank Academic Positions: University College London (UCL)
Open-Rank Academic Position in the field of Machine Learning or Statistics at the Gatsby Computational Neuroscience Unit, University College London (UCL)
Hours: Full Time
Fellowships: As per University norms (inclusive of London allowance)
Tasks and Responsibilities
Gatsby Computational Neuroscience Unit at UCL invites applications for an academic position in Machine Learning or Statistics at the rank of Lecturer, Associate Professor or Professor. These appointments to be made at a rank appropriate to the experience and international standing of the selected candidates.
The Unit shares a purpose-built home with the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, near the UCL Gower Street campus. We are close to cognate groups in the departments of Computer Science and Statistical Science, as well as the Alan Turing Institute.
The Unit offers internationally competitive salaries.
Qualifications / Requirements
- Strong analytical background in machine learning, mathematics, physics, computer science, statistics and/or engineering.
- Faculty members are expected to have a detailed knowledge and understanding of the literature in their appointed research fields.
- Proficient in its application and have a ready ability to acquire and absorb new information, methods and techniques in the service of research goals.
To apply for the vacancy please click on the ‘Apply Now’ button below (See link at the end of the post).
Attach to your online application a copy of your CV, statement of research interests and accomplishments, a teaching statement, and full contact details (including e-mail addresses) for three academic referees.
Further information: Please contact Maneesh Sahani (email@example.com) or Arthur Gretton (firstname.lastname@example.org).
Deadline: 15 Dec 2020
|Organization||University College London (UCL)|
|Fellowship Level||Research, Faculty|
|Subject areas||Machine Learning, Mathematics, Physics, Computer Science, Statistics, Engineering|
|Fellowship amount||As per Uni. rules|
|Eligibility||Open for All|
|Last Date||15 Dec 2020|