Cargo/posição/bolsa: Bolsa de Investigação (BI) para licenciado;
Referência: ARDITI-Porto Santo sem Lixo Marinho-2022-01
Área científica genérica: Ciências da Computação
Título/Title
Research fellowship (Bachelor Degree): Applying new technologies and remote sensing for marine litter detection
Job/Fellowship Reference : ARDITI-Porto Santo sem Lixo Marinho-2022-01
Área científica genérica
Main research field
Computer Sciences
Área científica específica
Sub research field
APP development, Marine Pollution
Texto do anúncio (max. 7000 car.)
Job/Fellowship description (max. 7000 char.)
Within the scope of the project “Porto Santo sem Lixo Marinho” (funded by the EEA Grants 2014-2021 program), ARDITI (Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação) is seeking to recruit a research fellow interested in pursuing a Master degree in Computer Sciences (or other field of relevance) with training and/or expertise in Java, Swift or JavaScript to develop a mobile application for citizens and tourists in Porto Santo, allowing them to easily report locations and occurrence of marine litter, and conduct a pilot study on its’ implementation.
The successful candidate is expected to join MARE - Marine and Environmental Sciences Centre R&D Unit in Madeira at Madeira Tecnopolo, Funchal, Madeira, between March 2022. The research team of MARE-Madeira, has broad interests and formal training in marine biology and ecology, marine biogeography and invasion biology and their research is focused primarily on marine benthic communities and how these are shaped by environmental conditions and anthropogenic pressure. Research and work will be developed with co-supervision of Dr. João Canning-Clode and Dr. João Monteiro (MARE-Madeira) and Prof. Dr. Marko Radeta (MARE-Madeira, University of Madeira)
Requisitos de admissão
Admission Requirements
The ideal candidate will have a bachelor Degree in Computer Sciences or other field of relevance to the Porto Santo Sem Lixo Marinho project. Applicants must be enrolled in a Bachelor or Master Degree Program for the full period of the current position.
- Background and/or proven experience in app development
- Experience with basic programming for Android and iOS (e.g. Java, Swift)
- Experience with mobile application development using MVC and cross mobile platforms and debugging
- Basic knowledge in front end web programming (HTML,CSS, JS)
- Experience and Knowledge in managing mobile databases (e.g. SQLite)
- Basic knowledge of Git using IDE (GitKraken, SourceTree, GitLab)
- Experience and knowledge in managing databases (e.g. phpMyAdmin, MySQL)
- Demonstrated ability to work independently
- Fluency in English (spoken and written)
- Strong communication skills
Plano de trabalhos
Workplan
The selected fellow will assist in mobile development and participate in research activities (both in the field and in the laboratory) related to the implementation of a marine litter reporting mobile application in Porto Santo, including (and not only):
- Mobile app development;
- Conducting assessments with the app;
- Assess usability and feasibility of monitoring marine litter in Porto Santo with app;
- Develop monitoring program relying on app reports;
- Develop platform for users to assess app collected data.
Orientação científica e local de trabalho
Scientific guidance and workplace
The work will be coordinated by Dr. João Gama Monteiro, Dr. João Canning-Clode (MARE-Madeira) and Prof. Dr. Marko Radeta (MARE-Madeira, University of Madeira) at the Madeira Unit of MARE - Marine and Environmental Sciences Centre, in Madeira Tecnopolo, Funchal, Madeira Island (Portugal).
Duração da(s) bolsa(s)
Duration
3 months
Subsídio de manutenção mensal
Salary
ARDITI fellowship stipend (875,98€) and regulations are determined by ARDITI
https://cloud.arditi.pt/index.php/s/wJGZEAJWaQx6wcx?path=%2FRegulamentos%2FBolsas#pdfviewer
Métodos de seleção
Evaluation criteria
The following evaluation criteria will be applied:
FS = QA + EP + IN
FS – Final Score
Sum of Qualifications, Experience and Interview scores (if applicable), to a maximum of 40 points
QA – Qualifications
- Maximum score of 10 points: Bachelor Degree in a field of relevance (e.g. Marine Biology, Ecology, Oceanography, Remote Sensing, Computer Science).
EP – Experience
- Maximum Score of 20 points as follows:
Description |
Max. Score (Points) |
|
3 Points |
|
3 Points |
|
3 Points |
|
3 Points |
|
2 Points |
|
2 Points |
|
1 Point |
|
1 Point |
|
1 Point |
|
1 Point |
TOTAL |
20 Points |
IN – Interview
- Top three candidates may be invited for an interview (in person or remotely) if QA + EP scoring has a maximum difference of 2 points or lower. Maximum score of 10 points.