The newly created Forest Resources Management group FORM at ETH's Institute of Terrestrial Ecosystems within the Department of Environmental Systems Science is looking for outstanding postdoctoral researchers with expertise in designing engaging interactive media and immersive virtual content.
The candidates are expected to be forward thinking in their creative- and research agenda, enthusiastically engage with the public and university, and excel teaching in the classroom and online. They will embrace the opportunity to augment our faculty's strengths in 3D content creation and game design, while shaping the evolution of our forays into interactive media creation and virtual reality storytelling in forest resources management.
This position is key to bridging creative, conceptual, and scientific alliances between traditional research in forestry, remote sensing, and cutting edge virtual reality applications.
People at FORM focus on questions related to the development and enhancement of IT based decision support systems (DSS) used in the management of forest resources. These DSS cover various management scales, ranging from a single forest stand to landscape level. Based on information on current forest conditions, obtained via traditional inventories, or using remote sensing (e.g. Lidar), our DSS predict the development of forest conditions over time, allowing a comparison of the consequences of various management approaches, climate change, windthrow, etc.
The output from such models is, however, often quite abstract and difficult to interpret. We are therefore aiming to create an immersive experience, allowing users to view both the model as well as modelling output in a virtual environment.
The successful candidate will work with students to design and build multidisciplinary simulation prototypes and user-experiences employing rigorous simulation methods. You will collaborate with other researchers in the group to enhance current data flows into and from various forest management tools, ultimately linking forest management models into a VR (virtual reality) environment. You will:
(a) Develop an approach to use Lidar point clouds and other information sources to develop a virtual forest based on DSS model output.
(b) Create educational resources for- and contribute to the development of lectures/ courses in the field of 3D Modeling and Virtual Reality in forestry and the environmental sciences.
The objectives will be to:
You will also be expected to develop independent research to support your future career in academic- or industrial research. You will assist Prof. Griess with organisational and oversight responsibilities on various ongoing and future projects. You will mentor and work with student researchers, and contribute to teaching courses in the department’s graduate and undergraduate curriculum. Overall, you will contribute to and participate in the life and development of the research group, advise students, author and co-author scientific publications, present research at conferences and events, serve on committees, and participate in the broader university and disciplinary communities.
This is a 3 year full-time position. The desired starting date is March 01, 2021, a different starting date can be discussed. The position is open until filled. Detailed information regarding employment and salaries at ETH can be found here.
We look forward to receiving you online application including the following information:
All documents must be in PDF format and must not be compressed. Please note that we exclusively accept applications submitted through our online application portal.
ETH strives to be a workplace free from discrimination and with equal opportunities for all.
For further information please contact Mrs. Ariane Hangartner at email@example.com (no applications).
|Title||Postdoc - 3D Modeling and Virtual Reality Creation of Natural Forest Environments|
|Job location||Rämistrasse 101, 8006 Zurich|
|Published||January 14, 2021|
|Job types||Postdoc  |
|Fields||Computer and Society,   Computer Communications (Networks),   Computing in Mathematics, Natural Science, Engineering and Medicine  |