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Ficha de projeto

Nome

Assistant Professor in Computational Neuroscience

Valor total do projeto

123,39 mil €

Valor pago

0 €

Financiamento não reembolsável

123,39 mil €

Financiamento por empréstimos

0 €

Data de início

01.02.2025

Data de conclusão

31.03.2026

Dimensão

Resiliência

Componente

Qualificações e competências

Investimento

Ciência Mais Capacitação

Código de operação

02/C06-i06/2024.P2023.15623.TENURE.060

Sumário

Artificial Intelligence (AI) and computational modeling are present in almost every single instance of our daily lives: from the object and face recognition systems implemented in most social media apps or in self-driven cars and vehicle detection systems, to our internet search engines. AI and computational science have, in fact, become a centerpiece in contemporary society – we are witnessing fierce debates over AI’s reach that focus on important issues such as accessibility, security and ethical considerations, but also on how AI and computational models can be used to advance science and society.Here we propose the hiring of an Assistant Professor in Computational Neuroscience to establish a strong research program that builds upon the work done at CINEICC, and that focuses on computational models – e.g., deep learning convolutional neural networks (DNNs) and more semantic-based models (e.g., transformers) – to model neuroimaging (e.g., fMRI) and/or behavioral data, and further our understanding of how the brain processes complex high-level information. Specifically, we are looking for an individual whose research interests lie at the intersection of computational modeling, human neuroscience and neuroimaging, and cognitive science, with a specific focus on developing computational models in any of the major areas of cognition in humans (e.g., vision, language, attention, memory, decision making, social cognition, motor processes). The candidate should be able to contribute encoding/decoding models on human cognition and test those with relevant human and artificial (DNNs) data, relate multidimensional feature maps from different layers of a computational model with multivariate neural response patterns in humans elicited by high-level stimuli, and/or use these multidimensional feature maps and adversarial attacks to computational models to gain leverage on the units of cognition that give rise to mental experiences. The ideal candidate should have demonstrated research potential as evidenced by a strong publication track-record; show promise of developing and maintaining an active, externally-funded research program; show commitment to supervising students; and show the ability to work collaboratively within CINEICC. Such a profile would provide a major innovative branch of cognitive neuroscience at CINEICC, bringing a new level of understanding of mind-brain relationships.Computational approaches are, and have been historically, important contributors to the advances in Psychology. Major examples of these contributions came from the advent of connectionism, parallel distributed (PDP) models, and other computational models in the 1980s - e.g., the work of James McClelland and others on psycholinguistics; the computational models on vision and object recognition put forth by David Marr and Irving Biederman. All these have fundamentally shaped Cognitive Science and Psychology.It is evermore clear, however, that the role of computational modeling is far from historical and is a major area in Psychology going forward, especially in its intersection with neuroscience. In fact, the profile presented above is currently one of the most sought-after profiles in the best Psychology departments in the world. This is so because computational neuroscientists aim to uncover the principles underlying neural processes and behaviors through the lens of complex mathematical models and computational techniques. Thus, they lend a strong methodological background that can be used in our efforts to resolve some of the most complex societal issues, typically involving working with big data. Moreover, the presence of these profiles in Psychology departments and research centers has a spillover effect on researchers and students of all levels, preparing them for STEM fields, and providing them with a set of cross-sectorial skills that are increasingly in demand within and outside academia.While it is clear that Computational Neuroscience is becoming a major emergent field within leading Psychology departments and research centers worldwide, it is still completely absent in Portuguese Psychology departments and research centers. Importantly, CINEICC and the associated local department of Psychology (FPCE-UC) have been awarded the ERA (European Research Area) Chair project CogBooster, led by Alfonso Caramazza. CogBooster is set to help create a strong and permanent line of research that focuses on neuroscientific approaches to understanding cognitive processes. We strongly believe that the profile proposed here will be of central importance for the understanding of major cognitive processes, and thus is aligned with CINEICC’s strategic research program on neural underpinnings of high-level cognition, as well as with the ERA Chair CogBooster’s (and FPCE-UC) goals. Moreover, the hiring of such a researcher will pave the way towards stronger analytical and methodological research programs in Psychology in Portugal.

Beneficiários

No âmbito do Plano de Recuperação e Resiliência, existem duas tipologias de beneficiário que têm a responsabilidade de executar os projetos, aplicando o financiamento recebido. Dado o seu papel comum, a referência a estas duas tipologias de beneficiário foi simplificada e unificada no termo “Beneficiário”.
As duas tipologias são:
  • Beneficiários Diretos são aqueles cujos financiamento e projetos a executar constam do Plano de Recuperação e Resiliência negociado e aprovado pela União Europeia;
  • Beneficiários Finais são aqueles cujos financiamento e projetos a executar são aprovados após um processo de seleção, feito através de Avisos de Candidaturas.

Aviso de Candidaturas

Na realização dos Avisos de Candidaturas são solicitadas candidaturas para a escolha dos projetos e dos beneficiários finais a quem é atribuído o financiamento.

A avaliação do projeto é realizada com base na sua conformidade com os critérios de seleção definidos nos avisos de candidatura, podendo ser atribuída uma nota final, quando aplicável.

Nota final da avaliação

9,6
Nota importante

Poderá encontrar os componentes do cálculo da nota de avaliação no documento de critérios de seleção referenciado em baixo.

Critérios de seleção

Os critérios de seleção de financiamento a que este projeto e respetivo beneficiário final esteve sujeito e a sua classificação podem ser consultados em detalhe na plataforma Recuperar Portugal.

Beneficiários

Beneficiários intermediários

Beneficiários

Contratação pública

Os Beneficiários que sejam entidades públicas operacionalizam o seu projeto através da celebração de um ou mais contratos de fornecimento de bens ou serviços com entidades fornecedoras, através de procedimentos de contratação pública.

De forma a garantir e disponibilizar o máximo de transparência na contratação pública, é aqui disponibilizada a listagem dos contratos que foram celebrados ao abrigo deste projeto e respetivo detalhe que poderá consultar na plataforma Base.Gov. De realçar que de acordo com a legislação em vigor no momento da celebração do contrato, existem exceções que não exigem a sua publicação nesta plataforma, pelo que nesses casos, poderá não existir informação disponível.

Distribuição geográfica

123,39 mil €

Valor total do projeto

Onde foi aplicado o dinheiro

Por concelho

1 concelho financiado .

  • Coimbra 123,39 mil € ,
Fonte EMRP
10.02.2026
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