We are looking for a biological/Biosystems Engineer specialised in bioinformatics/systems biology to work in our Metabolomic Robots team for advanced crop diagnosis. This research is underpinned in non-invasive, 'in-vivo' and 'in-situ' digital crop phenotyping coupled with metabolomics and transcriptomics using our omic-robot for advanced precision agriculture. You can find an opportunity to join our disruptive research through a PhD based on an ongoing project OmicBots – High-Throughput Integrative Biology Omics Robots Platform for 'Next Generation Plant Physiology based Precision Viticulture.

The intended skills are:

1. Education - Preferably a Master's level Degree in System Biology/Bioinformatics engineering or Biology/Biochemistry with formal competencies in bioinformatics. If the candidate comes from a Computer Science/data science background, a basic understanding of molecular and cellular Biology is crucial.

2. Bioinformatics Tools - Understanding how biological systems (and their related components) work. Experience or willingness to learn a combination of programming languages: Python, R, Matlab, and tools designed explicitly for computational biology and bioinformatics like Biopython, Cobra. Sequence analysis tools – Blast, Bowtie, Clustal etc.

3. Statistical skills - Proficiency in computational data analysis or modelling is expected. Ability to develop machine learning pipelines using tools like Tensorflow and Scikit-Learn. Knowledge of decision trees and hierarchical clustering can also be highly beneficial