Positions: 5
Research Grant (BII)
BII|2025/764 / BII|2025/765 - FRAIL – refª 2024.07266.IACDC
Type of position: Research Grant (BII)
Duration: 3 months
Deadline to apply: 2025-10-10
DescriptionTWO (2) research grants for students enrolled in a BSc or MSc degree with reference numbers BII|2025/764 / BII|2025/765, under the scope of the Project FRAIL –, supported by the measure “RE-C05-i08.M04” – “Support for the launch of a programme of R&D projects focused on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific capacity-building programme”, within the funding agreement signed between the Estrutura de Missão Recuperar Portugal (EMRP) and Foundation for Science and Technology, I.P. (FCT), is now available under the following conditions:
OBJECTIVES | FUNCTIONS
Two major research goals are highlighted:
(i) the development of deep learning pipelines leveraging longitudinal user health data for knowledge extraction and medical decision support; and (ii) the statistical investigation of understudied molecular markers and pharmacological covariates to enhance and complement the first objective.
Contact email: bolsas@inesc-id.pt
Research Grant (BI)
BI|2025/758-SYNTHESIS-refª LISBOA2030-FEDER-00868200
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-10-10
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2025/758 under the scope of the Project SYNTHESIS - Mosaic integration and synthetic generation of multi-omic data for the discovery of precision cancer medicines – refª LISBOA2030-FEDER-00868200, funded by operation nº 15030, Balcão dos Fundos, FEDER (Fundo Europeu de Desenvolvimento Regional) and FCT (Fundação para a Ciência e Tecnologia), is now available under the following conditions:
OBJECTIVES | FUNCTIONS
This position involves developing statistical and machine learning approaches for the analysis of CRISPR base editing screens and their integration with large-scale genomic annotations derived from variant effect predictors. Responsibilities include designing bioinformatics workflows, processing molecular data, training machine learning models, biological interpretation, and working in a collaborative international environment.
Contact email: bolsas@inesc-id.ptBI|2025/769-Project SHELL – Refª LISBOA2030-FEDER-00748300
Type of position: Research Grant (BI)
Duration: 12 months
Deadline to apply: 2025-10-10
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2025/769 under the scope of the Project SHELL – Refª LISBOA2030-FEDER-00748300 funded by operation nº 16321, Balcão dos Fundos, FEDER and FCT, is available under the following conditions:
OBJECTIVES | FUNCTIONS
Cloud computing is currently in an impasse. While hardware efficiency is improving at an exponentially lower rate, the demand for elastic and scalable cloud resources keeps growing, as evidenced by the emergence of popular cloud computing models such as Serverless. Since this demand cannot be met with existing virtualization technology, we propose Shell, a new virtualized runtime environment that has the potential to unlock the new cloud era.
Contact email: bolsas@inesc-id.ptBI|2025/766-SYNTHESIS -– refª LISBOA2030-FEDER-00868200
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-10-10
DescriptionONE (1) research grant for students with MSc degree with reference number BI|2025/766 under the scope of the Project SYNTHESIS - Mosaic integration and synthetic generation of multi-omic data for the discovery of precision cancer medicines – refª LISBOA2030-FEDER-00868200, funded by operation nº 15030, Balcão dos Fundos, FEDER (Fundo Europeu de Desenvolvimento Regional) and FCT (Fundação para a Ciência e Tecnologia), is now available under the following conditions:
OBJECTIVES | FUNCTIONS
This position involves developing statistical and machine learning approaches for the integration of cancer multi-omics data and the analysis of CRISPR-based screens. Responsibilities include designing bioinformatics workflows, processing molecular data, training models, and working in a collaborative international environment.
Contact email: bolsas@inesc-id.ptBI|2025/767 - Project OptiGov – refª 2024.07385.IACDC
Type of position: Research Grant (BI)
Duration: 3 months
Deadline to apply: 2025-10-10
DescriptionONE (1) research grant for students with BSc degree with reference number BI|2025/767, under the scope of the Project OptiGov - refª 2024.07523.IACDC, supported by the measure “RE-C05-i08.M04” – “Support for the launch of a programme of R&D projects focused on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific capacity-building programme”, within the funding agreement signed between the Estrutura de Missão Recuperar Portugal (EMRP) and Foundation for Science and Technology, I.P. (FCT), is now available under the following conditions:
OBJECTIVES | FUNCTIONS
This work aims to harness the power of Data Science, Process Mining, LLMs and Artificial Intelligence to optimize public administrations (PA) processes. The main objective is to face the challenging problem of compliance, particularly in aligning specifications of PA processes with legal guidelines that these processes should satisfy.
The work aims to contribute to Task 4 of the project, dedicated to the validation of the developed framework in collaboration with public administrations. The focus will be on information management, by promoting effective interaction with public entities, while strengthening sound data management practices and the adoption of open data principles.
Contact email: bolsas@inesc-id.pt