Giving Beekeeping Guidance by cOmputatiOnal-assisted Decision making
Join the B-GOOD hive: We are seeking for a Research Fellow to join the team
Nottingham Trent University are seeking a candidate to work as a Post-Doctoral Research Fellow as part of a multidisciplinary team in support of research funded by the EU under project grant B-GOOD. The successful candidate will underpin fundamental research into honey bee health and the automated monitoring of hives.
The role will involve working in close collaboration with, including possibly spending short periods of time at, consortium research organisations in Europe. This is an ideal opportunity to make a valuable contribution to impactful research, and to develop high-level skills in the area of machine learning, automated condition monitoring, honeybee behaviour, vibrational measurements and signal processing.
Requirements:
You will have a Ph.D. in science in a relevant field and a good record of academic excellence. You will have good knowledge of core concepts in machine learning and/or data mining, and have experience in conducting research from conception through to dissemination. You will be motivated and ambitious.
The post holder will be organised with excellent communication skills, will hold a UK/EU car driving license, and will be able to work effectively within a small team and the wider consortium. An honours degree in Physics, Computing, Electronics or other closely related discipline is required.
Responsibilities:
The successful candidate will assist the project lead in writing matlab® and/or GNU Octave code in order to undertake the numerical analysis required. Specific duties will include, in particular, beekeeping (appropriate training will be given where necessary), including driving to and from a UK based apiary, statistical analysis, machine learning, maintenance of colony monitoring hardware, contributing to conference presentations and publications, and liaising with non-academic audiences and stakeholders, etc.
For further information and to apply, please visit:
https://vacancies.ntu.ac.uk/displayjob.aspx?jobid=7578