Call Opening Notice Master Students Research Grant under the project AI4SMARTAUDIT - IMS_BOLSA_AI4SMARTAUDIT_2026_02

Description

Offer Description: Call Opening Notice Master Students Research Grant under the project AI4SMARTAUDIT. IMS_BOLSA_AI4SMARTAUDIT_2026_02 The Instituto Superior de Estatística e Gestão da Informação da Universidade Nova de Lisboa – NOVA Information Management School (NOVA IMS) is opening a call for the award of 1 (one) research scholarship in the area of Data Science, under the Research Scholarship Regulation of NOVA University of Lisbon and The Statute of the Research Fellow (EBI). The grant will be awarded within the scope of project no. 101262014 – Use of Artificial Intelligence in the Audit of EU Funds – AI4SMARTAUDIT, funded by the European Commission under the Technical Support Instrument (TSI) programme. Researcher Profiles Can apply for this call: National citizens or citizens of other member states of the European Union; Citizens of third States; Stateless persons; Citizens enjoying political refugee status. To apply for the Research Scholarship it is necessary to: Hold a bachelor degree in areas related to Data Science or related fields; Have knowledge of machine learning and auditing Be enrolled in a Master's programme in the field of Data Science. Work plan and goals to achieve The research fellow will contribute to the development and evaluation of artificial intelligence and sampling methodologies to support the audit of European funds, under the supervision of the project’s research team. The planned activities include: Preparing and exploring the data provided by the audit authorities, identifying data quality issues, differences between sources, and relevant variables for modelling. Contributing to the development of machine learning models to estimate the risk of error and support the selection of operations for audit. Studying sampling methods that incorporate risk estimates, considering the objectives of representativeness, statistical accuracy, and audit efficiency. Conducting simulations to compare models and selection strategies under different scenarios, assessing, among other aspects, their error-detection capability and the accuracy of the resulting estimates. Performing validation, robustness, and interpretability tests on the developed models and methodologies. Documenting procedures, results, and limitations, contributing to the project's technical reports and deliverables. Expected Results : Prepared datasets for analysis, reproducible code and methodological procedures, results from simulations and validation tests, and contributions to the technical documentation of the proposed methodologies. Applicable Legislation and Regulations The call is governed by this Notice of Opening, by the NOVA University Lisbon Research Grant Regulations, approved by Order no. 9484/2023, published in the II Series of the DR of 14 September 2023, by the Research Grant Holder Statute approved by Law no. 40/2004, of 18 August, as amended, and by other applicable national and Community legislation. Workplace The work will be developed at the facilities of NOVA Information Management School (NOVA IMS), Campus de Campolide, 1070-312 Lisboa, Portugal, under the scientific supervision of Professor Dr. Pedro Simões Coelho. Type and Duration of Scholarships The research grant is intended to fund research and development activities at Portuguese universities. The Research Grant will have a duration of 6 months, possibly renewable until the end of the project. Amount of monthly maintenance allowance The amount of the grant corresponds to € 1090,98, according to the table of monthly maintenance allowances in the NOVA University Lisbon Research Grant Regulations. The monthly payment will be made by bank transfer. The scholarship may also include other components, under the terms set out in article 18 of the RBI and at the amounts provided for in its Annex II. All scholarship holders benefit from personal accident insurance for research activities, supported by Nova Information Management School (NOVA IMS) . All scholarship holders

Sectors

Source

Source: euraxess.ec.europa.eu