Topic of the project 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)
To be admitted to doctoral studies in Microdata Analysis, the applicant must meet both the general and specific entry requirements and have the capacity required to benefit from doctoral studies in this field
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Teaching Positions: Application Information Vacant Positions Vacant Positions Vacant Position Share × Share this page PhD position in Microdata Analysis, specialising in Machine Learning Social Link E-mail Own message (optional) We also send information about the page in the message. Send PhD position in Microdata Analysis, specialising in Machine Learning Share this page Page Content Ref HDa 2.3.1-2020/367 Are you interested in contributing to scientific research on forecasting and machine learning algorithms? We now offer a fully funded PhD position in Microdata Analysis to address environmental issues. Subject and research areaMicrodata Analysis is a multidisciplinary field involving collection, modeling, compilation, and interpretation of large data sets, together with underlying algorithms, methods, and techniques, as well as its application to decision making. Microdata Analysis at Dalarna University is predominately applied to health, environment, energy, transport, infrastructure and industry. The PhD programme gives broad general knowledge and attractive specialist competence in Business intelligence and Business analytics, opening opportunities for both an academic career and work in e.g. research institutes, management or consulting. The programme is suited for applicants with a degree at the second-cycle level in disciplines such as computer science, informatics, engineering, statistics, economics, or geography. Topic of the projectThe 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). As a PhD student you will primarily focus on your studies and research. 20% of your time may also be spent on departmental duties, often teaching, at the Faculty of Data and Information Sciences. Qualifications To be admitted to doctoral studies in Microdata Analysis, the applicant must meet both the general and specific entry requirements and have the capacity required to benefit from doctoral studies in this field. General Entry Requirements The General Entry Requirements for admission to 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 3. Equivalent skills acquired through other means in either Sweden or another country. SelectionSelection from among applicants who meet the entry requirements shall be made based on the criteria in the general study plan. 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. In order to succeed as a PhD student, you need to be able to collaborate well with others, which includes both sharing your knowledge and to be open to guidance and tutoring by others. You also need to be a motivated self-starter who is able to take initiative and work independently towards a long-term goal. English language skills, both written and oral is a must. The assessment of candidates is also based on previous study results and independent work at master’s level. Employment The PhD position is a full-time employment (fixed term) in accordance with the Higher Education Ordinance (chapter 5). Salary stipulated by local collective agreement. Dalarna University is situated in two cities. The successful candidate with be primarily placed in Borlänge. This studentship is available for European and non-European citizens. How to apply Your application should contain: Cover letter and CV Copies of diploma supplement and grades Previous independent writing such as thesis 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) Two academic references If you have any technical issues or questions regarding submission of your application, please contact email@example.com Please submit your application on no later than 2020-06-15. In case of disagreement between the English and the Swedish version of this announcement, the Swedish version takes precedence. If you want to learn more about Dalarna University as an employer, visit https://www.du.se/en/about-du/career-opportunities/why-work-here/ We respectfully decline all offers from advertising companies and recruitment firms. By working at Dalarna University, you can help create opportunities so that everyone can attain a higher education. Regionally and globally, we create open pathways to knowledge for a good society. We work to ensure our programmes and courses remain of relevance and of high quality, while our research is conducted in close collaboration with external partners. We have 800 staff members and 15 000 students, as well as a great many collaborative partners. Do you want to effect change in the world with us? Contact persons Prof. Yves Rybarczyk Study director of the PhD programme in Microdata Analysis +46 (0)23-77 83 99 firstname.lastname@example.org Märet Brunnstedt Doctoral Studies Coordinator email@example.com Patrick Kenger Akademichef firstname.lastname@example.org Apply Dalarna University saves some data as cookies to enhance and personalize your visit to our website. Learn more about cookies.
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