PhD Position (Teaching and Research Associate)
- Vienna University of Economics and Business
- Research, development, teaching
- Part time
- published till: 2024-07-17
You wish to advance your academic career and to develop a research and teaching
profile? You also want to gain first-hand insights into research to accelerate a digital and green transition and help meet climate change and environmental sustainability goals? Or you want a head start into your dissertation while gaining teaching experience?
We offer an environment where you can realize your full potential. At one of Europe’s largest and most modern business and economics universities. On a campus where quality of work is also quality of life. We are looking for support at the
Institute for Data, Energy, and Sustainability led by Prof. Kavita Surana and supported by the BMK Endowed Professorship for Data-Driven Knowledge Generation: Climate Action
Part-time, 30 hours/week
Starting October 01, 2024 (or flexible until March 1, 2025), and ending after 4 years
profile? You also want to gain first-hand insights into research to accelerate a digital and green transition and help meet climate change and environmental sustainability goals? Or you want a head start into your dissertation while gaining teaching experience?
We offer an environment where you can realize your full potential. At one of Europe’s largest and most modern business and economics universities. On a campus where quality of work is also quality of life. We are looking for support at the
Institute for Data, Energy, and Sustainability led by Prof. Kavita Surana and supported by the BMK Endowed Professorship for Data-Driven Knowledge Generation: Climate Action
Part-time, 30 hours/week
Starting October 01, 2024 (or flexible until March 1, 2025), and ending after 4 years
What to expect
You will be part of a dynamic research group focused on data-driven assessments for climate action. You will work in an interdisciplinary environment incorporating data science / artificial intelligence / machine learning methods with perspectives from technology innovation, government, business, and society that focus on driving climate action. You will be immersed in an internationally-minded environment aiming to align research and action with climate and environmental sustainability goals.
Research activities: You will conduct research in the aforementioned fields and publish in international, top-tier, peer-reviewed academic journals.
Teaching responsibilities: You will contribute to the courses on the bachelor and/or masters level
Organizational duties: You will take over and participate in organizational and
administrative tasks
Supervision: You will co-supervise bachelor and/or masters theses.
Engaging with external stakeholders: You will take on a leading role in working with the unit’s industry partners and other key stakeholders in government and academia to (co)develop and share research insights.
Writing a dissertation: You will investigate your research topic and spending a third of your working hours on writing your dissertation.
Research activities: You will conduct research in the aforementioned fields and publish in international, top-tier, peer-reviewed academic journals.
Teaching responsibilities: You will contribute to the courses on the bachelor and/or masters level
Organizational duties: You will take over and participate in organizational and
administrative tasks
Supervision: You will co-supervise bachelor and/or masters theses.
Engaging with external stakeholders: You will take on a leading role in working with the unit’s industry partners and other key stakeholders in government and academia to (co)develop and share research insights.
Writing a dissertation: You will investigate your research topic and spending a third of your working hours on writing your dissertation.
What you have to offer
Academic degree and experience: You have a master’s degree (or equivalent) in any relevant subject area with related to data science and its applications (see below) that qualifies you for enrollment in a doctoral program at WU. You already have an idea for a promising dissertation project.
Relevant research foundations and interests:
Coding skills: You have advanced knowledge of R, Python or similar programming languages on data science projects
Language skills: You have excellent written and spoken English as well as communication skills, knowledge of German (or willingness to learn) is considered a plus.
Willingness to use multimedia teaching methods: You are prepared to use multimedia teaching and learning formats.
Working style: You are open-minded, ambitious, have critical thinking skills coupled with interest in working in an interdisciplinary and collaborative team environment. You have strong interpersonal and communication skills and can engage with multiple audiences.
Please submit at least the following documents along with your application:
(a) a motivation letter (2 pages max, highlighting your motivations and qualifications for this position)
(b) a curriculum vitae (including a list of publications (if applicable), and the names and contact information of 2 references from prior employers or academic supervisors)
(c) master or diploma thesis grades and transcripts of your Master and Bachelor studies
(d) a research statement (2 pages max, highlighting any past research experiences and 1-3 future research projects).
Relevant research foundations and interests:
- Academic training involving quantitative methods and/or data science applications in a variety of disciplines (e.g., data science, information systems, computer science, digital economy, physics, mathematics, economics, applied statistics, operations research, public policy, supply chain management, energy systems, social and economic sciences, engineering)
- Advanced skills in the following (or related) areas or deep motivation to learn: data science; data ecosystems; machine learning and artificial intelligence (incl information extraction, data mining, natural language processing (NLP), large language models etc.); network science; complex systems
- Demonstrated interest or motivation to work on energy and climate change through coursework or any relevant experiences on topics including (but not limited to) energy technology innovation or climate-tech (including in electricity, buildings, transport or mobility, and industry), energy policy, climate finance, industrial policy, energy economics, etc.
Coding skills: You have advanced knowledge of R, Python or similar programming languages on data science projects
Language skills: You have excellent written and spoken English as well as communication skills, knowledge of German (or willingness to learn) is considered a plus.
Willingness to use multimedia teaching methods: You are prepared to use multimedia teaching and learning formats.
Working style: You are open-minded, ambitious, have critical thinking skills coupled with interest in working in an interdisciplinary and collaborative team environment. You have strong interpersonal and communication skills and can engage with multiple audiences.
Please submit at least the following documents along with your application:
(a) a motivation letter (2 pages max, highlighting your motivations and qualifications for this position)
(b) a curriculum vitae (including a list of publications (if applicable), and the names and contact information of 2 references from prior employers or academic supervisors)
(c) master or diploma thesis grades and transcripts of your Master and Bachelor studies
(d) a research statement (2 pages max, highlighting any past research experiences and 1-3 future research projects).
What we offer you
- Inspiring campus life with over 2,400 employees in research, teaching, and administration and approximately 21,500 students
- A modern campus with spectacular architecture in the heart of Vienna
- Excellent accessibility by public transportation
- Meaningful work in an open-minded, inclusive, and family-friendly environment
- Flexible working hours
- A wide range of benefits, from an in-house medical officer to athletic activities and a meal allowance to a variety of employee discounts
Curious? Visit our website and find out more at www.wu.ac.at/benefits
The minimum monthly gross salary amounts to €2,684.10 (14 times per year). This salary may be adjusted based on job-related prior work experience. In addition, we offer a wide range of attractive social benefits.
Please direct any questions to Prof. Kavita Surana at kavita.surana@wu.ac.at
Do you want to join the WU team?
Then please submit your application by July 17, 2024 (ID 2119).
We are looking forward to hearing from you!
The minimum monthly gross salary amounts to €2,684.10 (14 times per year). This salary may be adjusted based on job-related prior work experience. In addition, we offer a wide range of attractive social benefits.
Please direct any questions to Prof. Kavita Surana at kavita.surana@wu.ac.at
Do you want to join the WU team?
Then please submit your application by July 17, 2024 (ID 2119).
We are looking forward to hearing from you!
