S2AQUA - Laboratório Colaborativo, Associação para uma Aquacultura Sustentável e Inteligente (S2AQUAcoLAB), in the terms of article 7 of S2AQUAcoLAB’s Research Fellowship Regulation, hereby announces that a call for applications has been authorized for the award of a Research Fellowship (Master’s Degree) in the field of data modeling or related fields.
The call for applications for a Research Grant is intended to support research activities within the Amy-WARN project, which aims to develop a predictive tool for forecasting outbreaks caused by A.
ocellatum in an operational context.
To this end, the project integrates knowledge about the parasite’s life cycle with data from environmental monitoring, enabling the identification of risk conditions and the anticipation of outbreaks.
Funded by Algarve 2030, Lisboa 2030, and Orçamento de Estado.
• Beneficiaries (conditions required) The scholarship is intended for holders of a master's degree in bioinformatics, computational biology, computer science, biology, or related fields.
Applicants must be enrolled in an integrated master's, master's or doctoral programme, or in a non-degree course that is part of the educational project of a higher education institution developed in association or cooperation with one or more R&D units.
• Desired profile 2.1 Education and experience: • Degree (REQUIRED) of Master’s in Bioinformatics, Computational Biology, Biomedical Sciences, Biology, or related fields.
2.2 Technical skills: • Solid knowledge of Python or MATLAB;
• Practical experience with machine learning algorithms;
• Knowledge of differential equations, mathematical modeling, and simulation of dynamic systems;
• Ability to calibrate and validate models using real data;
• With 2 years of relevant experience, including applied research, a master’s thesis, or technical projects.
Other requirements: • Fluency in Portuguese and proficiency in English (spoken and written);
• Ability to adapt, integrate, and work as part of a team;
• Results-oriented and skilled at problem-solving;
• Strong personal organizational skills, a sense of responsibility, and attention to detail;
• Independence, proactivity, and the ability to manage time efficiently;
• Willingness to work shifts and occasionally on weekends;
• Willingness to travel domestically and/or internationally, as needed.
3. The work plan The work program includes, in particular, the following activities: • Plan the development of models for system forecasting;
• Model programming;
• Model parameterization using data collected within the scope of the project;
• Participate in data analysis, preparation of reports and scientific articles, and project meetings.
4. Submission of applications The call is open between November 6, and 11:59 p.m. on November 20, 2026. To apply for this research fellowship you must send an email to indicating the reference number for the research fellowship competition S2AQUAcoLAB/Bolsa/Ref_14/2026. Each candidate may submit only one application, failing which all applications submitted will be cancelled.
An application will only be considered valid upon submission of all mandatory documents.
The provision of false statements or the commission of acts of plagiarism shall constitute grounds for cancellation of the application, without prejudice to the adoption of other sanctioning measures.
5. Type and duration of the fellowship A Master's Research Fellowship will be awarded.
The fellowship is scheduled to begin in December, on a date to be determined later in consultation with the candidate, and will last for 12 months.
The fellowship must be carried out on an exclusive basis, in accordance with the S2AQUAcoLAB Fellowship Regulations (Regulamento Bolsas de Investigação S2AQUAcoLAB) and the FCT Fellowship Regulations based on Portuguese Law 40/2004 of August 18 (Estatuto do Bolseiro de Investigação Científica) as amended by Decree -Law 123/2019 of August 28. 6. Supervision and place where the activity will be developed The fellowship program is part of S2AQUAcoLAB’s activities and takes place at the Estação Piloto de Piscicultura de Olhão (Av.
Parque Natural da Ria Formosa, s/n, 8700-194 Olhão, Portugal), under the guidance of Dr. Sílvia Gregório, researcher at S2AQUAcoLAB.
The scholarship requires 40 hours of work per week.
7. Amount of monthly maintenance allowance The amount of the fellowship is 1 359,64€, according to the table of fellowships approved by FCT, I.P.
The fellow is entitled to the reimbursement of the voluntary social insurance (1st level), if applicable, in accordance with the conditions defined in the Estatuto do Bolseiro de Investigação |
DR. The fellow will be covered by personal accident insurance for the duration of the fellowship.
The fellowship will be paid monthly via bank transfer made by S2AQUAcoLAB to the account designated by the fellow.
8. Admissibility 8.1