Our naturally beautiful campus in the Jyväskylä city centre is home to a dynamic multidisciplinary research university – a modern, open and collaborative community of 2,500 experts and 15,000 students seeking answers to the pivotal questions of today and tomorrow. It was here, in 1863 that Finnish-language teacher education began. Since then, the University of Jyväskylä has been serving the future. The dialogue between research, education and society is our driving force. We cherish this balance of research and education, and work to promote open thinking. We kindle the skills, knowledge and passion to live wisely for the best of humanity.
The Department of Biological and Environmental Science is currently seeking to recruit staff to the position of
Doctoral Student in Aquatic Sciences, for a fixed 4-year term starting 1.12.2018 or as agreed.
Research of the Department of Biological and Environmental Science is renowned in the University’s denoted core research activity fields of basic natural phenomena and mathematical thinking.
The Doctoral Student will work in the research group of Associate Professor, Academy Research Fellow Anna Kuparinen within the Academy of Finland financed project "Anthropogenic and Environmental Effects on the Complex Eco-evolutionary Dynamics of Aquatic Ecosystems”. The Doctoral Student will be co-supervised by Assoc. Prof. Anna Kuparinen and Ph.D. Tommi Perälä. The tasks of a Doctoral student focus on research concerning doctoral thesis, doctoral studies, assisting teaching tasks and other tasks connected to these tasks.
We are looking for a highly motivated Ph.D. student interested in developing and improving Bayesian statistical methods for change point detection and classification problems, and applying them to research questions related to eco-evolutionary dynamics of aquatic ecosystems. The ideal candidate is expected to have, or be about to obtain, M.Sc. in mathematics, statistics, or computational sciences (or any other relevant field as long as the skill set is suitable). The candidate is expected to have good skills in Bayesian statistical methods, scientific computing and programming (preferably in Matlab). More advanced knowledge and skills in algorithm development, change point models, variational methods and classification would be an asset.
The duties, qualification requirements and language skills of Doctoral student are in accordance with the University of Jyväskylä Regulations. The selected person must also fulfil language requirements set for the selection of PhD students.
The job-specific salary component of a Doctoral student is based on the job demands level 1-4 (EUR 1 826.50 €/month –EUR 2 500.06 €/month) according to the salary system concerning teaching and research staff at universities. In addition, a personal performance-based salary component amounting to the maximum of 46.3% of the job-specific salary component is also paid.
A trial period of six months will be used when the position is first filled.
The application should include:
Please submit your application at the latest by October 31, 2018 using the online application form.