{"id":11199,"date":"2024-11-13T17:40:43","date_gmt":"2024-11-13T15:40:43","guid":{"rendered":"https:\/\/webpages.tuni.fi\/gamification\/?page_id=11199"},"modified":"2024-11-14T13:14:50","modified_gmt":"2024-11-14T11:14:50","slug":"postdoctoral-position-3y-gamified-augmented-reality-location-based-remote-sensing-application-in-nature","status":"publish","type":"page","link":"https:\/\/webpages.tuni.fi\/gamification\/postdoctoral-position-3y-gamified-augmented-reality-location-based-remote-sensing-application-in-nature\/","title":{"rendered":"Postdoctoral Position (3Y): Gamified AR for Remote Sensing in Nature (GamiLIDAR)"},"content":{"rendered":"\n

Postdoctoral Position (3Y):  Gamified AR for Remote Sensing in Nature (GamiLIDAR)<\/strong><\/strong><\/h1>\n\n\n\n

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We are seeking a postdoctoral researcher to join us at Gamification Group (Gamification Group | GL! HF! GG\u2026<\/a>), Tampere University, particularly within the research domains related to the GamiLiDAR project and the UNITE Flagship (see What is gameful forest interaction?<\/a>).<\/p>\n\n\n\n

The research in question is focused on gamified augmented reality applications, location-based games and other gameful solutions for capturing data from nature. The need for such data exists e.g. in domains such as forestry. For capturing the data, approaches such as remote sensing (e.g. light detection and ranging (LiDAR) technology in consumer devices) are used. While capturing such data usually requires manual work, our approaches rely on using gamified applications and crowdsourcing, enabling the collection of data while users engage in playful interactions at nature locations. <\/p>\n\n\n\n

GamiLIDAR was born out of the UNITE Flagship and focuses on proof-of-concept applications that enable data collection while experiencing gameful interaction, enhancing the capacity to collect forest data while making the experience engaging. Specifically, we 1) create applications to collect point cloud and other spatial data to derive forest characteristics, and 2) gather behavioural data to gain insight into how user actions relate to the collected forest characteristics and to the applied game mechanics.<\/p>\n\n\n\n

See https:\/\/youtu.be\/8TDBe1YwUTY?si=mRUztTi3vQnZ9aTo<\/a> for our current prototype applications. The applications have been developed for LiDAR enabled iOS devices.<\/p>\n\n\n\n

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JOB DESCRIPTION<\/strong><\/h2>\n\n\n\n

In this position, the tasks of the candidate will focus on using gamification in the nature domain to capture the environment through forest-themed, forest-situated gameful applications, crowdsourcing and location based games. The data is collected using methods such as close-range remote sensing approaches and one main mechanism for data collection is the use of augmented reality applications and games to guide users in data collection. <\/p>\n\n\n\n

The candidate is expected to participate in the design and development of the applications, but also in the planning, design and execution of experiments and user studies related to the applications. Additionally, the study of different uses and visualisation opportunities of the resulting data will also be expected, as well as the study of possible business approaches. The candidate will also participate in the planning and execution of future research related to the area.<\/p>\n\n\n\n

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REQUIREMENTS<\/strong><\/h2>\n\n\n\n

The ideal candidate for this position should have a background in information technology (e.g., human-computer interaction, game design, computer science). Additional experience in social sciences (e.g., applied psychology), forestry sciences or similar fields is considered a plus. Moreover, the candidate should strive for proficiency and scientific rigour in interdisciplinary and multi-method contexts.<\/p>\n\n\n\n

Additionally, due to the aims and approaches of the project, researchers accepted into the position would be expected to build and make use of existing networks with key forestry stakeholders, such as forest managers, and engage with them in all stages of research.<\/p>\n\n\n\n

Qualifications:<\/strong><\/p>\n\n\n\n