The stipend is part of the research project “Getting the data right” for climate footprints, a 4-year research project to provide a globally unique virtual lab and database tool for quantitative assessment of the climate effects of decision alternatives, popularly speaking ‘a climate footprint generator’, and a mechanism to ensure its continuous maintenance.
The PhD study is anticipated to cover the following aspects:
- Identification of climate relevant household types
- Automated procedures for allocating inputs to households to different household activities
- Automated procedures for producing accounts of household production and leisure activities based on demographic data and survey data by household type on income, expenditure, energy by use, lifetime of household durables, dietary patterns, travel patterns, employment, social network, time usage, and tourism satellite accounts.
We expect that you:
- Have a relevant Master’s degree in economics, data science, engineering, or antropology
- Have experience with programming (python)
- Have experience with complex quantitative modelling, e.g., ecosystem, economic, or social modelling
- Have a high level of English language and communication skills, both in writing and verbally
You may obtain further information from Professor Bo Weidema email@example.com, phone 9940 8328 concerning the scientific aspects of the stipend.
PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.
Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.
For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Camilla Hvass-Raun, The Technical Faculty of IT and Design, email: firstname.lastname@example.org, phone: +45 9940 7406.
For more information of The Technical Doctoral School of IT and Design: www.phd.tech.aau.dk