진학프로석·박사 채용 접수 플랫폼

Reference: “PRR NEURASPACE/BI Mestre/1/2026”

A call for applications is now open for the award of 1 (one) Research Grant (BI) for a holder of a Master’s degree enrolled in a non-degree awarding course within the scope of the NEURASPACE Project, funded through the Recovery and Resilience Plan – Agendas for Business Innovation, under AAC No. 02/C05-i01/2022, reference C626449889-00463050, under the following conditions.

1. Scientific Area
Computer Engineering

2. Admission Requirements
Applicants may apply to this call provided they cumulatively meet the following requirements:
• Holder of a Master’s degree in Computer Science, Big Data, Mathematics or related fields*;
• Enrolment in a non-degree awarding course*;
• Experience with Large Language Models applied to the space domain.

*Applicants who have obtained their academic degree abroad must have the respective degree recognised in Portugal, in accordance with Decree-Law No. 66/2018 of 16 August. If, at the time of application, candidates do not present proof of degree recognition and/or proof of enrolment in a non-degree awarding course, they may submit a declaration under oath (attached to this Call for Applications), undertaking to provide the supporting documents by the grant contracting stage.

3. Preferential Factors

• • Proven experience with decision support systems based on knowledge bases and machine learning.

4. Work Plan
The work plan includes activities within the scope of the PRR NEURASPACE project, reference C626449889-00463050, namely:

The grant holder will implement a complete Retrieval-Augmented Generation (RAG) pipeline over a curated corpus of space regulation, operational guidelines and scientific documentation, systematically evaluating a reduced and well-justified set of retrieval strategies, embedding models and RAG configurations. The focus will be on achieving measurable improvements in answer accuracy, faithfulness to sources and robustness when dealing with ambiguous questions.

The work will prioritise quantitative evaluation in realistic space operations use cases, such as space traffic management and space debris mitigation. Safety and reliability mechanisms aimed at reducing hallucinations will be integrated and empirically evaluated. Expected results include a validated prototype, a concise experimental analysis highlighting practical trade-offs in the design of RAG systems for space applications, and the submission of a scientific article to a peer-reviewed journal or conference.

5. Applicable Legislation
The award and contracting of the grant shall comply with the Statute of the Research Grant Holder (Law No. 40/2004 of 18 August, in its current wording) and with the Regulation of Research Grants of NOVA University Lisbon, approved by Dispatch No. 9484/2023.

6. Workplace
The work will be carried out at NOVA Laboratory for Computer Science and Informatics (NOVA LINCS), at the Department of Computer Science of the NOVA School of Science and Technology, NOVA University Lisbon, under the scientific supervision of Professor Cláudia Alexandra Magalhães Soares.

7. Duration and Start Date
The grant has a duration of 3 months with an expected start date in April 2026. The grant cannot be renewed.

8. Grant Amount
The monthly grant amount is €1,309.64, in accordance with the FCT grant table currently in force, and payment will be made monthly by bank transfer.

9. Selection Method
Evaluation will be based on curriculum assessment, and if the jury considers it necessary an interview will be conducted, with the following weightings:
• Previous experience in the topic of the work — 50%
• Demonstrated knowledge in machine learning — 20%
Interview (when applicable):
• 30%
Each parameter will be evaluated on a scale from 0 to 20 points.

10. Selection Committee
The Selection Committee is composed of the following members from the NOVA School of Science and Technology, NOVA University Lisbon:
Chair: Dr. Cláudia Alexandra Magalhães Soares, Assistant Professor;
1st Effective Member: Dr. Ricardo João Rodrigues Gonçalves, Assistant Professor;
2nd Effective Member: Dr. Jorg Matthias Knorr, Associate Professor;
Substitute Members: Dr. Jorge Carlos Ferreira Rodrigues da Cruz, Assistant Professor, and Dr. André Francisco Martins Lamúrias, Assistant Professor.

11. Application Deadline and Submission
The call is open from 07 to 17 March 2026.
Applications must be submitted to gac@fct.unl.pt, with the subject: Application for Research Grant – “PRR NEURASPACE/BI Mestre/1/2026”.

Mandatory documents:
• Curriculum Vitae;
• Motivation letter;
• Master’s degree certificate*;
• Proof of enrolment in a non-degree awarding course*;
• Other documents considered relevant.

*Applicants who obtained their academic degree abroad must have the respective degree recognised in Portugal, in accordance with Decree-Law No. 66/2018 of 16 August. If, at the time of application, candidates do not present proof of degree recognition and/or proof of enrolment in a non-degree awarding course, they may submit a declaration under oath (attached to this Call for Applications), undertaking to present the supporting documents by the grant contracting stage.

12. Results
The results of the call will be communicated to applicants by email within 60 working days after the application deadline, in accordance with the Regulation of Research Grants of NOVA University Lisbon.
In accordance with the Code of Administrative Procedure, applicants are granted the right to a prior hearing within 10 working days, counted from the first working day following notification.
The final decision will be issued within a maximum of 5 working days after the conclusion of the prior hearing and all applicants will be notified again by email.
A complaint or appeal against the final decision may be submitted within 10 working days after notification, addressed to the Director of the NOVA School of Science and Technology, NOVA University Lisbon.

NOTICE (PT/EN)