Nofima is searching for a postdoctoral candidate experienced in image analysis and machine learning for a project to improve sustainability and minimize waste in the seafood industry. The position is in Tromsø, Norway, which draws visitors around the world for hiking, skiing, climbing and the spectacular northern lights. At: Nofima Location: Tromsø, Norway Web: www.nofima.no Position: Postdoctoral Researcher About the position: Nofima, the Norwegian food research institute, is searching for a candidate for a three-year postdoctoral project from the fall of 2019 at their Tromsø location. The project is in conjunction with UC Berkeley and Lund University. Start date is negotiable. The position has an excellent work-life balance, five-weeks’ vacation, and participation in the state health care system. Tromsø draws visitors from around the globe for the world class hiking, skiing, kayaking and climbing (https://www.instagram.com/visittromso/?hl=en). For more information, please contact kate.washburn@nofima.no Project Description: Nearly half of all edible seafood is wasted due to real or perceived quality problems. Currently, seafood characterization is very qualitative, which hinders research. The project will use state of the art MRI methods to develop quantitative descriptors of fish tissue. In particular, newly developed diffusion tensor imaging methods will be used to describe tissue structure at multiple length scales. This information will be used to improve processing and storage methods to minimize waste and improve sustainability in the fishing industry. MRI data will be correlated with hyperspectral imaging data with the aim of developing high throughput screening techniques. Responsibilities: • Improving MRI data analysis methods • Use machine learning to relate MRI data to quality attributes • Joint analysis and interpretation of MRI, hyperspectral and wet lab data • Assisting in data acquisition • Incorporating developed methods into the DiPy toolbox for dissemination • Publishing results in relevant academic journals and presenting results at relevant conferences Qualifications: • Doctoral degree in computer science, machine learning, physics, or other relevant discipline • Experience in programming • Experience in machine learning, image analysis, and neural networks • Experience in magnetic resonance is desirable, but not required • Fluent in both written and spoken English. Knowledge of Norwegian not required • Position will require some travel, and includes an overseas stay at UC Berkeley and at Lund University