Application Deadline: 15 September 2022
The Geoinformation Group at TU Vienna in Austria is looking for a PhD Student.
We welcome applications from students that are enthusiastic about working in the area of Artificial Intelligence and Geographic Information Science.
For more information please visit the following link:
Open PostDoc Position
Application Deadline: 28. October 2021
At the Department of Geodesy and Geoinformation, in the Research Unit of Geoinformation TU Wien is offering a position as university assistant (post-doc) until 31.08.2024 (maternity leave representation) for 40 hours/week. Expected start: March 2022.
We would like you to contribute to our research in the areas of Geographic Information Science and Spatial Artificial Intelligence. The areas we are interested in are: human navigation, human activity recognition, urban computing, spatial human-computer interaction, location based services and geospatial AI.
You will work together with a passionate and interdisciplinary team of researchers and model, analyze and interpret data collected through human subject experiments (location data, eye tracking and IMU data, etc.) as well as data from multiple other sources, e.g., OpenStreetMap. In your work, you will use artificial intelligence techniques and data from multiple sources. You will publish your results in international scientific journals and conferences. The laboratories of the group (https://geoinfo.geo.tuwien.ac.at/) will support your research and the exceptional IT infrastructure of the department (https://www.geo.tuwien.ac.at/) will be at your disposal.
- Deep interest in scientific problems and the motivation for independent and goal-oriented research
- Independent teaching or participation in teaching and supervision of students
- The ability to develop methods, concepts, as well as their realization and evaluation and the willingness to contribute in interdisciplinary scientific projects
- Participation in organizational and administrative tasks of the research division and the faculty
You have a doctoral degree in Computer Science, Geoinformation, Geomatics or similar. Furthermore, you are technically skilled and have programming experience, knowledge of statistics and machine learning. You have the ability to teach classes in GIScience with a heavy focus on implementation and algorithmic aspects of geographic information systems. You are creative, reliable and motivated with excellent oral and written communication skills in English, as well as proven experience in writing scientific papers. Knowledge in experimental design, the analysis of sensor data (e.g., eye tracking and IMU data), in project acquisition as well as communication skills in German, are advantageous.
- Completion of an appropriate doctorate and in-depth knowledge of the subject area
- Experience in national and international research cooperation as well as in project management and presentations
- Interdisciplinary work
- Experience in teaching and publication activities as well as interest and pleasure in research and work/support with students
- Organizational and analytical skills as well as a structured way of working
- Excellent command of the English language and very good communicative skills and team competences
TU Wien represents the largest Austrian University of Science and Technology conducting research, teaching and innovation under the motto 'Technology for people' for over 200 years. Over the years, TU Wien has evolved into an open academic institution built on strong foundations of basic and applied research as well as research-oriented teaching at the highest level. With its eight faculties (57 institutes and about 2.800 researchers) the TU Wien covers the whole value added chain within the classical engineering and natural science fields – basic as well as applied research projects provide newest findings and innovations.
Research at TU Wien is based on twin pillars: fundamental research at subject level together with the interdisciplinary integration, and application-orientated research built on this fundamental research. Together, they represent the key elements of the research output of TU Wien. With respect to the main role of university research, namely “generating knowledge to increase understanding and for the benefit of society”, these elements are directed towards utilizing this understanding and knowledge.
- Continuing personal and professional education and flexible working hours
- Central location of workplace with very good accessibility (U1/U2/U4 Karlsplatz)
- A creative environment in one of the most liveable cities in the world
- Additional benefits for employees can be found at the following link: Fringe-Benefit Catalogue of TU Wien
Entry level salary is determined by the pay grade B1 of the Austrian collective agreement for university staff. This is a minimum of currently EUR 3,945.90/month gross, 14 times/year for 40 hours/week. Relevant working experiences may increase the monthly income.
Apply here: https://jobs.tuwien.ac.at/Job/160882
Student summer job in Geoinformation
Application Deadline: 15. March 2021
to work part time (30 hrs/w) for 2 or 3 months during the summer holidays (July – September).
The Geoinformation group (https://geoinfo.geo.tuwien.ac.at/) engages in research relating to Spatial Human-Computer Interaction, Spatial Machine Learning, Wayfinding and Mobile Decision Making, Location-based Human Information Behaviour and Location-Based Services, alike. We aim to understand and model wayfinding human behaviour, find ways how to exploit AR and VR technologies to assist wayfinders and apply deep learning methods to semantically enriched geographic information.
Strong programming skills in Python or C# and the ability to work independently are required. Sound knowledge in machine learning, computational geometry or Augmented Reality technologies are a plus. The specific tasks of the successful applicant will be negotiated upon the start of the summer job, taking the applicant’s personal interests and level of knowledge into account.
The salary for this position is based on the Austrian regulations for university staff. The monthly minimum salary will be € 1.587,45 (gross, for 30 hours per week).
The application should include:
- Curriculum Vitae
- Availability (preferred duration of contract (2 or 3 months) in July, August, and/or September)
If you are interested, please send your application to firstname.lastname@example.org until March 15th, 2021.
Open PhD Position
Application Deadline: 1. March 2020
The Geoinformation Group at TU Vienna in Austria is looking for a PhD Student, starting the earliest possible.
We welcome applications from students that are enthusiastic about working in the area ofHuman-Computer Interaction and Geographic Information Science. During this 4 years position, the main focus will be on spatial interaction modalities and human activity recognition using a variety of sensors. The research is expected to lead to publications and a PhD dissertation for the student.
Qualifications and Skills
The ideal candidate must have an academic degree (Master Degree or equivalent) in a relevant field (e.g., Geographic Information Science, Computer Science, Media Informatics, Information Science), as well as strong research interests in Geographic Information Science and Human-Computer Interaction.
Good programming skills (e.g., C#, Python) and analytical thinking are required. Experience in Machine Learning and Empirical Research is highly desirable. Experience with one or more of the following is a plus: AR/VR, Unity, Eye Tracking. Furthermore, the candidate must have good communication skills in English (oral and written) and be a team player.
- 4 years position not tied to a project
- 30h/week employment
- Minimum 2.148,38 Euro gross (14 x per year)
- Motivation letter
- A Curriculum Vitae
- A copy of education degrees: e.g. bachelor degree, master degree, etc.
- Course transcripts, GPA (grade point average)
- Reference letters are welcome
Application Deadline: 1. March 2020
Please send your application documents (one file) to email@example.com
If you have any questions, you can write to firstname.lastname@example.org