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Jorge Gonçalves

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Post-Doctoral Fellowship in Fish Welfare Physiology, Behaviour and Modelling (2 vacancies) Centro de Ciências do Mar do Algarve in Portugal

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Oct 27, 2026

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Country

Portugal

University

Universidade do Algarve

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Keywords

Computer Science
Environmental Science
Biology
Artificial Intelligence
Behavioral Ecology
Marine Biology
Fish Physiology
Statistics
Video Analytics
Statistical Modelling
Biologging

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About this position

CCMAR – Centro de Ciências do Mar do Algarve is offering two post-doctoral fellowships within the WELL4CATCH project, focused on advancing animal welfare in fisheries. The positions are based at CCMAR in Faro, Portugal, with work also involving the Algarve coast and other locations needed for field implementation.

The call is organized around two complementary research tracks. The first fellowship focuses on fish welfare physiology and experimental validation, including the development and calibration of physiological, behavioural, RAMP and recovery-based welfare indicators; controlled experiments on capture and handling; field experiments in longline, set-net and purse-seine fisheries; and the assessment of stunning, slaughter and post-capture preservation procedures. The second fellowship focuses on behaviour, multimodal welfare assessment and modelling, including behavioural indicators of stress, fatigue, injury and recovery; sensor-based monitoring using force, accelerometer, motion and environmental data; video-based and automated behavioural analysis; multimodal welfare assessment; and statistical/AI-based predictive models, including cross-species welfare models.

The scientific supervisors are Professor Jorge Gonçalves, Pedro Guerreiro, Ana Marçalo, and João Saraiva at CCMAR. The selected fellows will contribute to scientific analysis, publications, conference communications, analytical tools, and methodological dissemination.

Eligibility requires a PhD in fisheries biology, fish physiology, behavioural ecology, or aquatic animal welfare obtained within the last three years. A valid driving licence is mandatory, and applicants must comply with CCMAR scholarship regulations. The call gives strong preference to candidates with hands-on experience in live fish experimentation, sea-based work, fish stress physiology, quantitative experimental design, publications in fish capture/handling/welfare, RAMP or other vitality indicators, and programming in R and/or Python.

The fellowship starts around November 2026, initially for 12 months and renewable up to a maximum of 36 months. A monthly maintenance allowance of €2,000.00 is provided, paid by bank transfer under an exclusivity regime. Applications must be submitted on the CCMAR website by 27 October 2026, 23:59 (Lisbon time). Required documents include the doctoral certificate, detailed CV in English, motivation letter in English, driving licence copy, and email contacts of up to three referees.

Funding details

Available

What's required

Applicants must hold a PhD certificate in fisheries biology, fish physiology, behavioural ecology or aquatic animal welfare obtained within the three years prior to application. Candidates who carried out doctoral research at CCMAR as host institution are not eligible. A valid driving licence is required, and candidates must comply with Article 3 of the CCMAR Scholarship Regulations. Preferred experience includes experimental work with live fish, experiments at sea, fish stress physiology, quantitative experimental design, fish capture and handling, welfare or vitality indicators such as RAMP, statistical analysis and programming in R and/or Python, biologging/accelerometry, underwater video, telemetry, respirometry, on-site physiological blood analyses, commercial fisheries experience, and stakeholder/fisher interaction.

How to apply

Apply directly on the CCMAR career opportunities website. Submit a complete application including the doctoral certificate, detailed CV in English, motivation letter in English, copy of driving licence, and email contacts for up to three referees. Incomplete applications are rejected.

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