The Doctoral studies in Microdata Analysis, Dalarna University, are looking to fill two PhD positions. Both are fully funded for 4 years and start as soon as possible. The positions are in the field of data sciences and artificial intelligence.
- 1st PhD position, on forecasting
The successful candidate will work on air quality data and time series forecasting using computational modelling. The objective of this thesis is to propose a method able to predict the atmospheric pollution in urban complex terrains with high spatial and temporal accuracy. Heterogonous data (meteorology, land use, traffic) will be used, in order to build models based on robust interpolation techniques (e.g. Kriging method) and advanced machine learning algorithms (e.g. Deep Neural Networks). Applicants with background in computer science, statistics, environmental engineering, or related areas are welcome. Experience in data processing and programming skills, especially in R and Python, are expected. Knowledge in QGIS presents an advantage. Completed projects/internships on topics relevant to the research area are advantageous.You can get more information and apply for this position through this link: https://www.du.se/en/about-du/career-opportunities/vacant-positions/vacant-position/?job=1477
- 2nd PhD position, on autonomous learning
The successful candidate will work in the field of neuro evolution and autonomous learning. This paradigm expects machines to explore and observe the environment, make predictions and ultimately learn much more like their human counterparts. Genetic algorithms are used to make systems able to autonomously learn. This work involves questions about forming memory and representations, using representations to inform decision making, theory of mind, artificial consciousness, and allows for comparisons to other machine learning methods like deep or reinforcement learning. Candidates with background from biology, evolution, cognitive science, or computer science are welcome. Working knowledge of C++ and Python are required, knowledge in computer modelling and math present an advantage.You can get more information and apply for this position through this link:https://www.du.se/en/about-du/career-opportunities/vacant-positions/vacant-position/?job=1479Qualifications
The General Entry Requirements for admission to the doctoral studies are as follows:1. A degree at master level.2. Completion of 240 university credits of which 60 are at advanced level, or equivalent skills acquired through other means in either Sweden or abroad.Application procedure
Your application should be written in English and contain:
- Copies of diploma supplement and grades.
- Previous independent writing such as thesis.
Application deadline: 15th of June 2020.For questions, please contact:
- Research statement (1-2 pages where you are expected to reflect on the research topic as well as your knowledge and interest in the area).
Prof. Yves RybarczykStudy director of the PhD programme in Microdata Analysis+46 (0)23-77 83 email@example.com
Märet BrunnstedtDoctoral Studies Coordinatormba@du.seAreas of Research
- Climate Modeling
- Machine Learning & Artificial Intelligence
- Data Analytics