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Department of Plant and Environmental Science, Section for Crop Science invites applicants for a PhD fellowship in Growth curve analysis for faba beans. The project is part of the research project “Decoding faba bean yield stability: From in-field image data to mechanistic models (DIGIFABA)”, which is financed by Novo Nordisk Fonden.
Opportunity Details
There is an urgent need to integrate more grain legumes into our agricultural systems to build efficient, resilient, and environmentally friendly plant-based food systems in the face of climate change and the growing global food demand. The DIGIFABA project aims to enhance breeding for yield stability in faba beans by developing phenotyping tools to assess drought stress and yield components. This includes statistical analysis of faba bean growth profiles under different management and environmental conditions.
The aim of the PhD project is to develop a methodology for detecting stress from individual plant growth
profiles in legumes. The data will include phenotyping data such as different plant growth parameters, plant physiological measurements and image-based measurements.
The solution will rely on nonlinear optimization and generalized non-linear mixed-effects models. Method development will be the main part of the project, but exploration and validation of the developed methodology to real experimental data as well as implementation is also important aspect.
Their group and research- and what do they offer?
The successful applicant will be part of the Biostatics group at the Department of Plant and Environmental Sciences. We are a part of the crop science section and work closely together with researchers across the section and departments on applied statistics within agronomy, eco-toxicology and plant phenotyping. The Crop Science section studies and teaches basic and applied sciences related to crop production, with a focus on the interaction between Genotype, Management and Environment. The aim of the crop science section is to improve land management for sustainable food production in a changing climate, by conducting research in laboratories, greenhouses, semi-field equipment and fields.
The successful applicant will in addition be part of the research project (DIGIFABA) group combining expertise in agronomy, statistics, and machine learning consisting of three PhD fellows, two postdocs, the supervisor and co-supervisor from the department and a professor from Department of computer science.
The Biostatics group is a part of Department of Plant and Environmental Science, Faculty of SCIENCE, University of Copenhagen. We are located at Taastrup campus, Copenhagen.
We offer creative and stimulating working conditions in a dynamic and international research environment.
Principal supervisor is Associate Professor, Signe M. Jensen, Department of Plant and Environmental Sciences, [email protected], Direct Phone: +4535333431.Co-supervisor: Associate Professor, Dorte Bodin Dresbøll, Department of Plant and Environmental Sciences
The terms of employment and salary are in accordance with the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.
Who are they looking for?
They are looking for candidates with strong competences within the field of statistics. Applicants can have a background in statistics, mathematics or agriculture, but must have experience with statistical modelling, generalized linear models, linear mixed models, and strong programming skills preferably in R.
Qualifications needed for the regular programme
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. statistics or agriculture. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.
Terms of employment in the regular programme
Employment as PhD fellow is full time and for maximum 3 years.
Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.
The terms of employment and salary are in accordance with the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.
Responsibilities and tasks in the PhD programme
They are looking for the following qualifications:
Your application including all attachments must be in English and submitted electronically by clicking on the link to the application website below.
Please include:
Apply for PhD Fellowship in Applied Statistics