RFCx/Arbimon are seeking an experienced, skilled and innovative Data Scientist to join our team and contribute to our acoustic monitoring initiatives. Your work will play a crucial role in advancing our understanding of acoustic environments and their ecological implications worldwide. We are a fully remote and virtual team so you can work from anywhere for this role.
- Develop and deploy deep learning and machine learning algorithms to analyze acoustic data collected from various sources, identify acoustic data patterns, trends, and anomalies.
- Develop innovative methodologies for feature extraction, signal processing, and classification of acoustic signals.
- Utilize data visualization techniques to effectively communicate complex acoustic patterns and insights to stakeholders.
- Collaborate with cross-functional teams to integrate acoustic data analysis into existing systems or develop new tools and platforms.
- Stay updated with the latest advancements in acoustic monitoring technologies and methodologies, and proactively identify opportunities for improvement.
- Contribute to research publications, conference presentations, and grant proposals related to acoustic monitoring.
Full job advert attached to this post and also here.
Please submit your resume, cover letter, and any relevant portfolio or research publications demonstrating your expertise in acoustic data analysis to contact@rfcx.org with the subject “Position: Data Scientist” and tell us a bit about yourself.
Position is open until filled.