We are now recruiting one field researcher/research assistant for the 2019 field season in July and August on the West Coast of Canada. The interdisciplinary research project merges state-of-the-art machine learning methods, and orca bioacoustics & behaviors. The fieldwork plays a critial role in collecting orca bioacoustic and behavioral data suitable for later machine learning tasks and the pilot study is in close collboration with FAU. It will be carried out from a boat-based research platform. The position is for 6-8 weeks in July and August. Applicant must be able to join the ENTIRE expedition. Due to our remote research location and working and living on a research sailing vessel as a team, applicant needs to be in good physical condition, able to participate with the daily routine on board (e.g. cooking & cleaning) and of living off the grid, and be comfortable with sharing limited room with others for an extended period of time. Long working hours whenever needed is expected. Due to working in remote locations there is very limited Internet access, limited medical service and limited fresh water for shower on board. Duties include but not limited to: - take watches to scan for orcas with support of state-of-the-art automatic orca detection tools on board - bioacoustic data collection - video documentation of behavioural observations , documenting all sightings, including photo IDs - data review Experiences preferred: - strong interest in marine mammals and in applying advanced machine-learning methods to bioacoustic research - proficiency in PAM Guard - familiarity with boat-based survey - familiarity with camera work - strong sense of responsibility, work ethic, and attention to detail - ability to work long days independent of sun/heat/cold - excellent verbal communication skills, fluent in English - ... This position is voluntary. Yet a financial compensation is available upon the successful completion of the expedition. The group meals on board are covered and accommodation and expedition expenses are covered. This is a great opportunity for researchers from a biology background to work in an interdisciplinary environment while getting first hand exposure to advanced machine learning methods in the context of addressing long-standing research questions in animal communication. More information is available upon request. To apply, please submit the following to dlal2019ca@gmail.com: - a cover letter describing why you are interested in this position, how the experience will help you to meet your long-term goals, and your dates of availability. - a resume (or curriculum vitae) describing your relevant training and experience. - names and contact information for one reference. Look forward to hearing from you! Best, DLAL team