ESR12 - Sensor network methods for fish detection and visualization

Host Institution: SOTON - University of Southampton 

Location: Southampton (UK)

Doctoral degree: PhD in Engineering at the University of Southampton (Faculty of Engineering and Physical Sciences)

Job description: Current installations of sensor networks are poorly cooperative. Two main objectives are: (1) to enhance ability to automatically track swimming fish using techniques of augmented and virtual reality; (2) to improve the management, analysis and visualization of fish tracking data.

Workplace: The successful applicant will be based at the new University of Southampton Boldrewood Innovation Campus. The campus provides unique high quality working space integrated with world leading laboratories including the National Infrastructure Laboratory, the Maritime Centre of Excellence, the Lloyd's Register Group Technology Centre, and the Engineering Centre of Excellence. The purpose-built environment houses state-of-the-art facilities used by our engineering staff and students. These include our unmanned vehicles laboratories, fluid dynamics laboratory, metal and wood workshops and a driving simulator. Furthermore, the student will spend a large proportion of time at the satellite ecohydraulics facility 2 miles away at the Southampton Science Park. At this facility the University owns a variety of large scale internal and external facilities, including acoustic tanks.

Secondment period (to be confirmed): Expected duration: 6 months; Hosting institutions: UNIPD (Universit√† degli Studi di Padova - Padova, Italy), SJE (SJE Ecohyrdaulic Engineering GmbH - Stuttgart, Germany), TALTECH (Tallin University- Tallin, Estonia)

><>  ><>  ><>  ><>  


Candidate requirements:


  • MSc in Engineering related discipline (electronic, civil, mechanical)
  • Applications from candidates not yet graduated by the call deadline (with Diploma foreseen at the latest by the end of July 2020) are accepted

Specific mandatory skills:  

  • Interest in working on at the interdisciplinary interface between engineering and biology
  • High level of practical / design skills
  • High level of numerical skills
  • Interest in working overseas as part of the project

Specific desirable skills: 

  • Experience with working with sensor technology  

Specific requirements of the Doctoral School:

The IELTS requirement for PhD for overseas students is 6.5 overall and at least 6.0 in each area or speaking, listening, reading and writing. Equivalent qualifications can be considered. A 2.1 undergraduate degree or equivalent overseas grade is required for all PhD entry.

Mobility rule:

Applicants must not have resided or carried out their main activity (work, studies, etc.) in UK for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.

><>  ><>  ><>  ><>  

Contact person(s): 

Paul White

Paul Kemp

><>  ><>  ><>  ><> ><>  ><>  ><>  ><> ><>  ><>  


><>  ><>  ><>  ><> ><>  ><>  ><>  ><> ><>  ><>   

Work package