Project description We are looking for a postdoc to develop statistical methods for source tracking of dioxins in a project funded by the Swedish Environmental Protection Agency (TRACED). Current knowledge of dioxin pollution sources is limited and existing source tracking tools require niche data management skills. The aim of the project is to develop new statistical methodology based on modeling of the composition of the contaminants (fingerprint analysis). The methodology will also be applied in two case studies (Lake Vättern and the Bothnian Sea) to explore, evaluate and challenge the current understanding of primary dioxin sources. The work will lead to a broad group of specialists being able to use the new source tracking tool. The project is interdisciplinary and you will work close to a project team that includes expertise in environmental chemistry, statistics and programming. The position is located in the research group led by Professor Erik Kristiansson. Information about the division and the department The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 200 employees and is the largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics, and conducts successful research in pure and applied mathematics and mathematical statistics in a wide range of research areas. We have an international environment with frequent exchanges with other universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. There are many committed teachers with extensive and broad experience in all aspects of higher education. Our department continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all our activities. We work actively to be a parent-friendly organization. Major responsibilities Your major responsibility as postdoc is to perform your own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position is meritorious for future research duties within academia as well as industry/the public sector. Qualifications Applicants should hold a PhD degree in in environmental engineering, environmental chemistry, biotechnology, chemical engineering, data science, statistics, mathematics or equivalent. Experience in statistical data analysis and programming is a requirement. Specialization in environmental modelling and/or biostatistics is meritorious. Emphasis is also placed on personal qualities, such as cooperation and communication skills, analytical and problem-solving skills, and the ability to work independently. Good knowledge of English (both oral and written) is a requirement. To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service*. * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all requirements for the doctoral degree. Contract terms This postdoc position is a full-time temporary employment for two years. We offer Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.  Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be marked with 20240351 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV: (Please name the document as: CV, Surname, Ref. number) including: • CV, include complete list of publications • Previous teaching and pedagogical experiences • Two references that we can contact. Personal letter: (Please name the document as: Personal letter, Family name, Ref. number) 1-3 pages where you: • Introduce yourself • Describe your previous research fields and main research results • Describe your future goals and future research focus Other documents: • Attested copies of completed education, grades and other certificates. Use the button at the foot of the page to reach the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 2024-06-30   For questions, please contact: Prof. Erik Kristiansson, Dept of Mathematical Sciences, [email protected] Prof. Karin Wiberg, Department of Aquatic Sciences and Assessment, SLU Uppsala, [email protected] *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***    Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.