Applications are invited from suitably qualified candidates for a full-time, fixed term position as a Research Assistant/ Research Associate (Software Engineer) with Dr. Enda Barrett in the Department of Information Technology at the National University of Ireland, Galway.
This position is funded by a Science Foundation Ireland Technology Innovation Development Award and is available until the funding end date, which is currently the 31st of December 2019 (though this may be extended by 3-6 months).
The project involves developing computer vision software which can accurately detect persons in noisy aquatic environments under a variety of conditions. The goal is to deploy the developed technologies for ocean-based search and rescue using drones, as well as stationary cameras on shore to detect persons in danger and to alert the authorities.
The successful candidate will work as part of a team including: the project coordinator Dr. Enda Barrett, a six-month intern, the Principal Investigator (Prof. Michael Madden) and possibly other PhD students currently part of the Information Technology Department. The new software engineer will be responsible for software design, development, and documentation work. They will also be responsible for evaluating appropriate computer vision algorithms, and training Deep Learning models for object detection and tracking.
Duties: Work is assigned by the coordinator, and is expected to include the following:
- 1. Development of deep learning/computer vision software for person detection and tracking;
- 2. Development of software to communicate with UAVs and stationary cameras;
- 3. Preparation of detailed technical and management reports, and participation in presentations about the work;
- 4. Engagement in project management activities related to the project;
- 5. Contribution to intellectual property management when deemed appropriate by the coordinator.
- A strong bachelor’s degree in Computer Science or a strongly related subject, ideally with a H1 or H2:1 grade.
- Industry experience (during degree studies or after) in software design and development in well-known programming languages.
- Excellent communication and interpersonal skills.
- Experience of personal project and time management, with evidence of excellent planning and organisation skills.
- A MSc, ME or PhD in Computer Science or related discipline
- Evidence of past interest and experience in artificial intelligence/machine learning.
- Substantial experience of deep learning or other machine learning formalisms, either in a university project, in employment, or in a significant personal project.
- Demonstrated experience of designing and implementing complex algorithms.
- Evidence of experience writing substantial technical reports/theses to a high quality.
Salary: Point 15 on the RA scale @ €34,612 or
Point 1 on the PD/RAssoc scale @ €39,530
Start date: Position is available from March 1st, 2019
Continuing Professional Development/Training:
Researchers at NUI Galway are encouraged to avail of a range of training and development opportunities designed to support their personal career development plans.
Further information on research and working at NUI Galway is available on Research at NUI Galway
For information on moving to Ireland please see www.euraxess.ie
Further information about the Department of Information Technology is available at http://bit.ly/2R3LLZz
Informal enquiries concerning the post may be made to Dr. Enda Barrett, Enda.Barrett@nuigalway.ie
Applications to include a covering letter, CV,and the contact details of three referees should be sent, via e-mail (in word or PDF only) to Dr. Enda Barrett: Enda.Barrett@nuigalway.ie
Please put reference number NUIG-032-19 in subject line of e-mail application.
Closing date for receipt of applications is 5.00 pm, Wednesday 20th February 2019
Interviews are planned to be held within two weeks of closing date
All positions are recruited in line with Open, Transparent, Merit (OTM) and Competency based recruitment
National University of Ireland, Galway is an equal opportunities employer.