We are looking for a highly motivated individual to join our ongoing research projects on the study of the optimization of diffuse mutualisms in plant-pollinator interactions. The project's main focus is to use a combination of ecological genetic, computer vision, and molecular approaches to estimate how evolution shapes efficient generalist pollination systems. The position is associated with the research group of Adrien Sicard at the Swedish Agricultural University in Uppsala and part of Human Frontier Science Program-funded project involving the Christina Grozinger's Pollinator Behavioral Ecology Lab (The Pennsylvania State University) and the Benjamin Risse's Computer Vision and Machine Learning System Group (Müster University, Germany).
The candidate should have proven expertise in molecular genetics, ecological statistics and plant-pollinator interactions or related knowledge that the employer considers equivalent. Prior practical experience in the analysis of large nucleotide sequence datasets and bioinformatic skills are assets. Creativity, motivation and drive are important personal characteristics as is excellent proficiency in English since English is the working language in the research group. Candidates should also have an ability to conduct independent research, take initiative, ask pertinent scientific questions, and interact with other scientists.
A PhD in molecular biology, genetics, or ecology is required. As postdoctoral appointments are career-developing positions for junior researchers, we are primarily looking for candidates with a doctoral degree that is three years old at most.