Pre-doc position


      Wien - vor 1 Jahr

      Pre-doc position: Statistical estimation of global transport routes of raw materials from mines to consumers

      Position initially limited to 1 year (extension desirable)

      Starting on July 1st, 2019


      The research group "Global Resource Use" at the Institute for Ecological Economics of WU Vienna is one of the leading European groups in the areas of natural resource accounting, modeling, and assessments focusing on raw materials, water, and land use.

      This position is part of the ERC Consolidator Grant project 'FINEPRINT' (Spatially explicit material footprints: fine-scale assessment of Europe's global environmental and social impacts), led by Dr. Stefan Giljum. FINEPRINT develops and applies a new method for fine-scale assessments of global material flows, in order to perform spatially explicit analyses of material footprints and related environmental and social impacts of European consumption (see


      You will be part of Work Package 2 of the FINEPRINT project, under which we currently develop a global material flow model for metals, fossil fuels and biomass. The model tracks raw material flows between countries. We plan to build a spatially explicit transport model, which zooms further into raw material extraction countries and reveals detailed sub-national flows.

      Together with other team members, you will collect available data, e.g., from transportation statistics, commodity flow surveys, international logistics databases, and port statistics. Your main responsibility will be combining all available data and creating an innovative modelling approach to determine flows between the place of raw material extraction, transport hubs (e.g. ports), and processing facilities, and to link this with the bilateral material flow model, which traces all flows to the consumers.

      You will be embedded in a very supportive and well-performing team consisting of 4 post-doc and 4 pre-doc researchers, as well as 4 research assistants. You are expected to publish your results in scientific journals, and to contribute to the writing of grant proposals.

      Your profile

      • A master's degree in statistics, regional science, geography, economics or related subjects (candidates shortly before finishing their degree will also be considered)
      • Profound knowledge of statistical estimation methods (e.g. MLE) and operations research
      • Experience in handling and automated processing of large-scale (geographic) datasets
      • Programming skills in R, Python and/or GAMS
      • Good knowledge of international (inland and/or maritime) transportation statistics is an asset
      • Creativity and delight in problem solving
      • Interest in environmental studies and assessments of the global footprints of consumption
      • Excellent English writing and communication skills (knowledge of German welcome but not required)

      Applications are accepted until April 15, 2019 and should include

      • Cover letter describing your motivation, research interests & relevant experience
      • Detailed curriculum vitae in tabular form
      • If available: a sample of your work representative for the job description

      Please send you application documents to Dr. Martin Bruckner (

      Note that a slightly different starting date could be arranged.