Current Job Openings
All current job openings are available on the German version of the Homepage
Currently open professorships
Full Professor of FinanceDepartment of Finance, Accounting and Statistics
Full Professor of Finance
Full Professor of Endowment ManagementDepartment of Finance, Accounting and Statistics.
Currently open academic staff positions
Project Staff Member (Postdoctoral Researcher position for Geographer/Geo-Informatics)Institute for Ecological Economics
The Institute for Ecological Economics is currently inviting applications for a 30-40 hours/week Project Staff Member/Postdoctoral Researcher position on “Geospatial assessments of global raw material extraction and related environmental and social impacts” for Geographer/Geo-Informatics (post-doc, employee subject to the terms of the Collective Bargaining Agreement for University Staff - Angestellte/r gemäß Kollektivvertrag für die Arbeitnehmer/innen der Universitäten; gross monthly salary on a full-time basis, paid 14 times per year: Euro 3,626,60). This employee position will be initially limited to a period of 3 years, starting on January 1, 2018 (Note thata slightly different starting date could be negotiated).
The research group “Sustainable Resource Use” at the Institute for Ecological Economics of WU Vienna is one of the leading European groups in the areas of natural resource accounting and indicators, modeling, and assessments focusing on materials, water, and land use.
This position is part of the ERC Consolidator Grant project FINEPRINT (Spatially explicit material footprints: fine-scale assessment of Europe’s global environmental and social impacts, see https://www.wu.ac.at/en/ecolecon/research/sustainable-resource-use/erc-fineprint), led by Dr. Stefan Giljum. FINEPRINT develops and applies a new method for fine-scale assessments of global material flows, in order to perform spatially explicit analyses of material footprints and related environmental and social impacts of European consumption.
You will be leading Work Package 1 of the FINEPRINT project, which will perform world-wide geospatial assessments of raw material extraction and related environmental and social impacts. You will be responsible for establishing an integrated and consistent framework of detailed spatial accounts of material extraction (of at least 60 different raw materials including agricultural, forestry and fishery products, fossil fuels, metal ores and non-metallic minerals) and related environmental and social data (e.g. deforestation, species occurrence, water scarcity, social conflicts). Together with the other members of the WP 1 team, you will collect, validate and quality-control a large number of spatial and non-spatial global and regional datasets with a variety of data formats. Your tasks will also include the production of global crop and forest harvest maps based on, e.g. available land use and crop suitability data. You will then perform quantitative-statistical and qualitative analyses of the relations between trends and patterns of raw material extraction and related environmental impacts, such as water scarcity and deforestation, as well as social impacts, such as local conflicts related to mining projects.
As WP 1 leader, you will head a small research team, consisting of 1-2 pre-doc researchers, a technical assistant as well as a research assistant. You will also work closely with the members of the overall FINEPRINT team, consisting of a total of 9 persons.
You are expected to publish scientific results in high-impact journals.
In addition to research, teaching activities on the bachelor level might be arranged.
The post holder will also be invited to contribute to the writing of grant proposals that, when successful, might provide funding to achieve full-time employment and to extend the post-doc position to a period longer than three years.
Applicants should have:
A doctoral degree or PhD in Geography, Geo-Informatics or related subjects
Profound experience in handling and automated processing of large-scale, global (geo)data (sources, structure, data types, quality evaluation, scripting/programming in R, Python or other languages)
Experience in building and working with (geo)databases
Strong skills in the area of spatial statistics (e.g. cluster analysis, multivariate regression)
Interest in assessing and ability to grasp the interrelations between raw material extraction and related impacts
Excellent written and communication skills in English (knowledge of German welcome but not required)
Reference Number: 3439
Applications can be submitted online until November 1, 2017.
All applications should include:
A cover letter describing your motivation, research interests & relevant experience
Detailed curriculum vitae in tabular form
A sample of your work representative for the job description
Assistant Professor, non-tenure trackInstitute for Information Business
The Institute for Information Business is currently inviting applications for a fulltime Assistant Professor, non-tenure track position (post-doc, employee subject to the terms of the Collective Bargaining Agreement for University Staff - Angestellte/r gemäß Kollektivvertrag für die Arbeitnehmer/innen der Universitäten; gross monthly salary, paid 14 times per year: Euro 3,626.60). This employee position will be limited to a period of 3 years, starting on December 12, 2017 (commencement date subject to change).
Please note that under the terms of the WU personnel development plan, the position of Assistant Professor, non-tenure track, is limited to an employment period of not more than six years. Applicants who are already employed at WU as substitute employees can therefore only be employed for the time remaining to complete the six-year period. Persons who have already been employed at WU in an Assistant Professor, non-tenure track position cannot be re-employed in this position at WU (except as a substitute employee) due to legal restrictions.
The position is in collaboration between the Data Management Group in WU's Institute for Information Business and the Vienna Complexity Science Hub (CSH) (https://www.csh.ac.at) in the area of Complexity Science and the Semantic Web.
lt is the main goal of the Vienna Complexity Science Hub to foster and facilitate interdisciplinary and interorganisational research in Vienna around complex systems, networks and big data. The Web and structured data on and collected from the Web are one of the most widely studied complex systems nowadays, influencing others like smart cities (for instance through Open Data, but also through social media, and more recently through participatory citizen science). While Complexity Science studies complex systems as such, Semantic Web technologies and standards focus on bringing structure to non-structured data and developing methods for scalable methods for integrating, processing and understanding Web data.
The offered position is within a cutting-edge research project and training with leading experts in the fields of Web science, Semantic Web, Economics and complex systems. As a plus, Vienna is one of the world's most liveable cities (according to some rankings even the most liveable one). The position is for an initial period of three years with a salary according to Austrian standards with the opportunity and the expectation to define proposals for joint follow-up projects for a longer-term position. The successful candidate will help to complement the interdisciplinary team at CSH with expertise fostering these prerequisites and support us to build large-scale infrastructures to collect data from the Web and to study the Web as a complex system as well as its impact in the non-virtual world in connection with other complex systems. As the Web as an ecosystem is growing faster than our ability to make sense of it with the established methods of the Semantic Web alone, we need to rethink both the classical knowledge representation paradigms as well as processing models for understanding the Web and its data, its evolution and scale as a whole. Candidates with a strong background in Semantic Web, Web Science or Complexity Science, and particularly in bridging these areas are welcome. Together with the team at CSH, the successful candidate will work on developing novel methods and infrastructures to collect and process Open Web Data, combine it with closed data and conduct large-scale experiments.
We search for excellent, creative and highly motivated scientists with a PhD in computer science, complex systems, Web science, or related disciplines with strong technical skills and research record. The candidates must:
have a great interest in multidisciplinary research,
have a critical, open-minded and collaborative spirit and
be proficient in the English language both written and spoken.
We are looking for candidates with expertise and a strong publication record in at least one of the following topics (several is a plus):
Building and Processing Knowledge Graphs (such as methods for the efficient interchange, extraction and structuring of Linked Data)
Knowledge Representation and Reasoning for Web Data (with a particular focus on non-standard, scalable and robust methods applied to real world data)
Combining quantitative and statistical methods with the aforementioned Knowledge Representation and Reasoning methods
Analysing the Dynamics and Evolution of Web Data (particularly methods and infrastructures for archiving and analysing such data at scale)
Scalable Methods for managing Information complexity of the Web (particularly Big Data Infrastructures to process data at Web scale)
Connecting virtual and physical communities by data and semantics on the Web (particularly social and technical implications)
Combining Open and Closed Data (particularly mastering implications and technical challenges on privacy and security)
Reference Number: 3447
Application materials can be submitted online until November 1, 2017.
Project AssistantInstitute for International Business (Academic Unit Prof. Puck)
The Institute for International Business (Academic Unit Prof. Puck) is currently inviting applications for a 10 hours/week Project Assistant position (employee subject to the terms of the Collective Bargaining Agreement for University Staff - Angestellte/r gemäß Kollektivvertrag für die Arbeitnehmer/innen der Universitäten; minimum gross monthly salary: Euro 500,08, recognition of previous employment - if relevant to the advertised position – possible) (paid 14 times per year). This position will be limited to a period of 12 month starting on November 08, 2017 (commencement date subject to change).
Your tasks include support for the project “the consequences of economic disintegration on Multinational Corporations”. You will support the project team in administrative, research, and (limited) teaching activities related to the project, as well as other activities of the academic unit. This includes the assistance in preparing project proposals, budget planning, and data management.
Very good grades in your ongoing Bachelor or Master degree
Excellent communication and IT skills (ideally MS Office and R)
Fluency in English (the project language)
Reference Number: 3466
Application materials can be submitted online until November 01, 2017.
Teaching and Research AssociateInstitute for Organization Design/Department of Strategy and Innovation
The Institute for Organization Design/Department of Strategy and Innovation is currently inviting applications for two 30 hours/week Teaching and Research Associate positions (pre-doc, employee subject to the terms of the Collective Bargaining Agreement for University Staff - Angestellte/r gemäß Kollektivvertrag für die Arbeitnehmer/innen der Universitäten; minimum gross monthly salary, paid 14 times per year: Euro 2,048.25, recognition of previous employment - if relevant to the advertised positions - possible). This employee position will be limited to a period of 6 years, starting on January 1, 2018 (commencement date subject to change).
The Chair of Organization Design has a research and teaching focus on strategic management (particularly strategic leadership and corporate governance), organizational change, and organization design. In our empirical research, we cooperate with a well-established network of international scholars. We are particularly looking for self-motivated, highly active and productive researchers, who will be expected to make a significant contribution to our research areas or a related field.
Your tasks will include contributions to research, teaching, and administration at the chair, including co-supervision of Bachelor theses.
Applications for an appointment as a Teaching and Research Associate imply that the successful candidate will enroll in WU's PhD program. Even though a substantial part of the candidate's research activities will be dedicated to his/her PhD project, the candidate will also be involved in other research projects. The outcomes of such projects will be published in international research journals and presented at international academic conferences. Attending advanced graduate courses is part of the training.
We wish to attract candidates with a solid academic qualification in Business Administration (preferably) or a related field (master's degree or equivalent). The successful candidate must demonstrate the motivation and capacity to excel in both research and teaching.
We are particularly interested in candidates whose background and qualifications are in one or more of the following areas:
strategic management, particularly strategic leadership and / or corporate governance
strategic adaptation / organizational change
quantitative empirical research and statistical and econometric analysis (e.g., Stata, R)
Very good communication skills, very good command of MS Office, and very good written and oral command of the English language are required (for international candidates, German language skills are a plus). Beyond any formal requirements, we are looking for enthusiastic, curious team players who are passionate about research and teaching and willing to take on responsibility.
Questions may be directed to Prof. Dr. Patricia Klarner (email@example.com).
Interested candidates should upload their applications including a cover letter (specifying research interests, motivation for an academic career, and possible starting date), CV, transcript of records, and other relevant documents, using the online application tool. Names and contact details of at least two potential academic references should also be included. All application documents can be submitted in either English or German.
Candidates should provide a pdf copy of their MA thesis or other research-oriented output (e.g., BA thesis, seminar papers).
Reference Number: 3470
Application materials can be submitted online until December 6, 2017.