[robotics-worldwide] [jobs] Research Associate in Signal Processing for underwater acoustic sensor networks

Dragone, Mauro m.dragone at hw.ac.uk
Wed Oct 25 02:27:00 PDT 2017

The Ocean System Laboratory (https://urldefense.proofpoint.com/v2/url?u=http-3A__www.oceansystemslab-2Dheriotwatt.com_&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=aiPQo8OW31DOox64to0KR7_yVP8d0-6E2zc_iNSvxTo&s=ZSYnzMrvKfNUdgF22j4CB603rDuNjCskA3doJM-sEnI&e=) at Heriot-Watt University, Edinburgh
is seeking a Research Associate in Signal Processing for underwater acoustic sensor networks.

The position targets cutting-edge research on the development and test of fast, distributed algorithms for environmental monitoring using acoustic sensor networks and autonomous underwater vehicles under strong communications constraints. This will include the investigation of compressive sampling and data-aggregation schemes and the use of machine learning solutions to minimize resources utilisation and adapt the monitoring framework to different settings and changing environmental conditions. The algorithms developed will be integrated as part of a system-wide network management tool running on very low power and computational resources hardware.

We are looking for a creative and highly motivated researcher willing to work as part of a team.

General tasks will involve scientific research; analysis and interpretation of data; daily oversight of the activities of postgraduate and undergraduate project students in the laboratory; communication with other investigators involved in this collaborative project; preparation of scientific papers; presentation of research at conferences.

Candidates will have will have a PhD in computer science, electrical engineering, robotics, applied mathematics, physics, or a related area. Competence in signal processing for sensor networks is required, with experience in machine learning, as well as optimization or Bayesian inference algorithms.

The post is available for 24 months.

Informal enquiries may be made to Dr Mauro Dragone at M.Dragone at hw.ac.uk<mailto:M.Dragone at hw.ac.uk>.

Applications are particularly welcome from women and black and ethnic minority ethnic candidates, who are under-represented in academic posts at Heriot-Watt.

For application details and further information please go to: www.hw.ac.uk/apply-jobs<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.hw.ac.uk_apply-2Djobs&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=aiPQo8OW31DOox64to0KR7_yVP8d0-6E2zc_iNSvxTo&s=WqgnG96COmx0pL3QrZzDf5bnC_cTRRltBlMAIdGp-NQ&e=>

Ref: IRC12009

Closing Date: 10 November 2017

Dr. Mauro Dragone
Assistant Professor
Phone +44 (0)131 451 3325
Earl Mountbatten Building, Room EM2.15
School of Engineering & Physical Sciences; Sensors, Signals & Systems
Heriot-Watt University, Edinburgh Center for Robotics
Edinburgh, EH14 4AS, UK


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