Do you want to work in an inspiring environment and contribute to the sustainable use of our oceans, lakes and watercourses? We at the Department of Aquatic resources (SLU Aqua) are passionate about our vision "Viable fish stocks in healthy waters ". We´re expanding, searching for employees who want to develop themselves and make a difference together with us.
The Department of Aquatic Resources conducts environmental monitoring and assessment, consulting, research and education in aquatic ecology with focus on fish and shellfish. The department is SLU's largest and has more than 180 employees at three main locations: Lysekil, Öregrund and Stockholm (Drottningholm), as well as four field stations.
The department is highly focused on data collection and analysis of fish, fisheries and ecosystems, and is characterized by intensive collaborations with industry, public agencies and NGO:s. This creates a vital research environment and gives us unique opportunities to develop knowledge with high societal impact.
We look forward to receiving your application.
You will integrate a team of highly motivated data analysts responsible for the provision of commercial catch data from Swedish fisheries to national and international end-users, including international stock assessments. The main part of your work will be the development and implementation of statistically sound routines for estimation of catch variables such as total discards and numbers-at-length/age from different Swedish fisheries. In paralel, you will collaborate in on-going efforts to improve the quality of the fisheries data, being directly involved in the development and implementation of quality checking algorithms. In your tasks you will work closely with local colleagues but also people from other European institutes, participating in joint-efforts to improve the design and estimation of commercial catch data used in ICES stock assessments and regional coordination initiatives. Those collaborations necessarily imply some trips and work away from home. Independent academic research and field work are not main goals of this position. However, should you wish so, you will be given some time and conditions to pursuit them.
We are looking for someone with previous experience in the handling and estimation of fisheries data. You are required to hold at least a BSc but your exact academic degree is not of utmost importance to us. Good programming skills in R language are required, including ability to write own scripts and functions and carry out data analyses and visualisations of large data sets. A reasonable knowledge of sampling design, more advanced R-programming skills, and previous experience with analyses of European fisheries and work at ICES level will be favorably considered. We put great emphasis on your personal qualities and work experience. You should be able to meet tight deadlines, quickly familiarizing yourself with new problem areas, identifying the key issues and make situational judgements. You will integrate an already existing team of data analysts so we need you to have a good ability to interact with others and be able to work both independently and in group. In your tasks you will need to speak and write fluently in English. Knowledge of Swedish is not essential but will be favourably considered.