OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
Are you interested in contributing to future research about Massive data-based analysis for hygrothermal transfer mechanisms and performance patterns? We now offer a fully funded PhD position in Microdata Analysis.
Subject and research area
Microdata Analysis is a multidisciplinary field involving collection, modelling, 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 program 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 program 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 project
Understanding the hygrothermal performance of external walls is a crucial issue in design, assessment and construction of buildings. As an essential component of the overall building system, hygrothermal transfer modes are closely related to various aspects of buildings’ performance, including building energy consumption, structural material corrosion resistance, connector corrosion, damage to decorative materials, housing adaptability, insect growth and structural safety.
The thesis project will consist of conducting hygrothermal design and performance prediction for the external walls according to the climatic conditions of the building environment. The microdata principles will be applied to address the problem, such as:
1) Collecting and curating data
2) Identifying and selecting relevant features (e.g., time, location, temperature, humidity, …)
3) Selecting and testing suitable data analytic methods (e.g., Deep Artificial Neural Networks and time series analyses)
4) Comparing the performance of different models (hygrothermal dynamics model vs machine learning models)
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
Specific Entry Requirements
Specific Entry Requirements require that the applicant has successfully completed at least five courses in the following subjects:
Database Systems – 7.5 credits
Data Analysis and Statistics – 7.5 credits
Artificial Intelligence – 7.5 credits
Programming – 7.5 credits
Mathematics – 7.5 credits
Economics – 7.5 credits
Optimization Techniques or Probability Theory – 7.5 credits
Decision Theory – 7.5 credits
Selection
Selection from among applicants who meet the entry requirements shall be made based on the criteria in the general study plan.
The candidate should hold a MSc in Computer Science/Engineering, Information Systems, Data Science or Business Intelligence. It is preferred that the applicant has some sort of knowledge about materials or buildings, such as a BSc in Material or Civil Engineering. It is also desirable that the candidate has some working experiences in data analysis projects.
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 and your knowledge and interest in the area)
• Two academic references
Please submit your application on our website no later than 2022-03-17.
If you have any questions on your application, please contact rekrytering@du.se
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.
Kontaktpersoner på detta företaget
TCO-lärarförbundet Kerstin Ahlberg
SACO Christina Romlid
023- 77 80 00
Avdelningschef Anna Parkhouse
023-77 89 06
Ämnesföreträdare Kevin McKee
023-77 82 38
verksamhetsledare Eva Hämberg
023-77 84 67
Verksamhetsledare Ann-Marie Mohlin
023-77 84 67
Akademichef Stina Jeffner
023-77 89 33
Professor i omvårdnad Anna Ehrenberg
023-77 84 72
Avdelningschef för omvårdnad Magnus Jobs
023-77 84 72
Projektledare Dala Sports Academy Sofia Brorsson
0701-910685