PhD scholarship in Ocean‑Offshore Infrastructure Monitoring | Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark | Technical University of Denmark

Position:	PhD scholarship in Ocean‑Offshore Infrastructure Monitoring
Institution:	Technical University of Denmark
Location:	Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark
Duties:	Innovate and develop new platforms, sensors, and software, especially wide‑band acoustic systems, to extend DTU Aqua’s ocean‑observation capabilities; Process and analyse multi‑sensor data to characterise marine fish communities and their habitats; Contribute to multidisciplinary projects within the observation‑technology domain; Produce high quality scientific and technical manuscripts that are suitable for publications in specialized journals
Requirements:	Possession of a MSc degree (or equivalent) in oceanography, including components of ocean science and engineering; Experience in ocean observation technology including remote sensing, in-situ observations and data analyses; Demonstrated research background, inclusive of master thesis or articles published on pertinent subjects (e.g., time series analyses, ocean sensors, acoustic and optical data processing, automation and robotics); Proficiency in Python, MATLAB, and/or C++ programming dialects (knowledge in other languages will be valued)

Text:	PhD scholarship in Ocean‑Offshore Infrastructure Monitoring Innovate and develop new platforms, sensors, and software, especially wide‑band acoustic systems, to extend DTU Aqua’s ocean‑observation capabilities; Process and analyse multi‑sensor data to characterise marine fish communities and their habitats; Contribute to multidisciplinary projects within the observation‑technology domain; Produce high quality scientific and technical manuscripts that are suitable for publications in specialized journals Possession of a MSc degree (or equivalent) in oceanography, including components of ocean science and engineering; Experience in ocean observation technology including remote sensing, in-situ observations and data analyses; Demonstrated research background, inclusive of master thesis or articles published on pertinent subjects (e.g., time series analyses, ocean sensors, acoustic and optical data processing, automation and robotics); Proficiency in Python, MATLAB, and/or C++ programming dialects (knowledge in other languages will be valued)