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Infarm
,
London, Greater London
Crop Scientist in Plant Phenotyping
Overview
Job Description
Who You Are As a part of our team you will contribute to the developing, validation and execution of phenotyping protocols that deliver phenotypic data to the team for decision making. You will apply phenotyping information of photometric stereo (PS) and multispectral imaging (MSI) to characterize plant responses to environmental changes and plant disease detection inside vertical farming systems. * You're excited about our vision to reshape the food industry. * You believe diversity, collaboration and teamwork are key drivers for success. * You thrive in an environment where you can take ownership and solve hard problems. * You love a challenge and want to do well while doing good. * You want to expand your horizons. Responsibilities * Define in collaboration with infarm's crop science team and the lab at Newcastle University appropriate experimental designs to generate relevant phenotypic data using PS and MSI. * Execute experimental procedures to correlate and validate values derived from PS and MSI data with plant responses to abiotic stresses and controlled pathogen infection. * Perform measurements that include various plant biological parameters (both morphological and physiological) to understand plant architecture and its link with yield components. * Generate in collaboration with internal and external scientists, high-throughput phenotyping pipelines using digital/automated tools to introduce spectral imaging as a tool for quality control of production and pest detection in our farms. * Communicate phenotypic results to stakeholders in written technical reports and oral presentations. Requirements * At least a Master's degree in biological/agricultural sciences with interest/experience in computing or statistical modelling. * Working knowledge of basic phenotyping practices using multispectral imaging. * Experience in sensor and image data processing. * "Hands-on" approach and proactive attitude. * Attention to detail. * Ability to solve problems, consider relevant alternatives before making decisions and conviction in making recommendations. * Ability to work both independently and in a team. * Experience in using software for data analysis (e.g., R, Phyton). * Experience with hydroponics is desirable but not essential. Special Things We Would Like to See * Experience in the use of automated phenotyping equipment and software. * Interest in computer programming and image analysis. * Experience of working with plant pathogen assays. * Knowledge of analytical/statistical (data mining) techniques in image analysis Location You will be based in our London plant hub, as well as our lab at Newcastle University. For further information feel free to contact Dr. Ankush Prashar (Ankush.Prashar@newcastle.ac.uk) or Dr. Viviana Correa Galvis (viviana.galvis@infarm.com)