research fellowship_CAMELOT - autonomiC plAtform for MachinE Learning using anOnymized daTa_POCI-01-0247-FEDER-045915 (786117)

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    Universidade de Coimbra
    Computer science
    First Stage Researcher (R1)
    14/01/2022 23:00 - Europe/London
    Portugal › Coimbra


University of Coimbra opens a call for one research fellowship, in the framework of the CAMELOT - autonomiC plAtform for MachinE Learning using anOnymized daTa project “CAMELOT” (reference: POCI-01-0247-FEDER-045915), co-financed by the European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme (COMPETE 2020) and by the Portuguese Foundation for Science and Technology, within the CMU-Portugal Program,in the following conditions:


Scientific area: Computer Science, Computer Engineering, Information Science and Technology, Information Systems, Geographical Information Systems or similar.


Skills/Qualifications/Admission requirements: Degree in Computer Science, Computer Engineering, Information Science and Technology or similar, enrolled in a Master’s Degree on Computer Science, Computer Engineering, Information Science and Technology or similar or Degree in Computer Science, Computer Engineering, Information Science and Technology or similar who are enrolled in courses not conferring an academic degree, integrated in the educational project of a higher education institution.


 “Courses not conferring an academic degree” must be related to the research fellowship’s activity type. “Courses not conferring an academic degree” are the courses referred to in paragraph e) of number 3 of article 4 of Decree-Law no. 74/2006, of 24 March, in the current wording, provided that they are developed in association or cooperation between the higher education institution and one or more R&D units, in accordance with the provisions of paragraph e) of article 3 of the Regulation for Research Fellowships of the Fundação para a Ciência e a Tecnologia, I.P.


Although the recipients must be enrolled in a cycle of studies leading to the attribution of an academic degree or in a course not conferring an academic degree, at the time of application it is not necessary for the candidate to have made such an enrollment, and proof of enrollment must be presented until thefellowship is contractualized. Candidates are only required to meet the requirements to enroll in the training offer. If there are candidates already enrolled (including attending a course), they compete on an equal footing with those who are not enrolled. 


Work plan/ Objectives: Investigation and development of a system based on artificial intelligence for the use and generation of anonymized tabular data in the training and execution of machine learning models, as well as study of techniques for applying artificial intelligence to protect data privacy.

Work plan:

- Identify and compare technological infrastructures for the implementation of data encoding methods and machine-learning algorithms, with an emphasis on generative models, and privacy protection techniques in machine learning.

- Familiarization with the existing system for generating tabular data and with the infrastructure for conducting experiments.

- Implementation of features to analyze the impact of transforming data methods on generative models.

- Implementation of features to analyze the impact of privacy protection methods on machine learning models.

- Development and improvements to infrastructure for conducting experiments.

- Identify points for improvement in the methods to be implemented.


Regime: The attribution of the fellowship does not generate or entitle a relation of a legal-labour nature, and the fellowship is undertaken in an exclusive dedication regime. The fellowship holder is awarded the Fellowship Statute of the UC, in its current wording, according to the Research Fellowship Holder Statute , and according to the Regulation for Research Fellowships of the Fundação para a Ciência e a Tecnologia, I.P., both in their current wording.


Location: DEI-FCTUC at the University of Coimbra.


Duration: 6 months.


Renewal: Possibly renewable.


Scientific orientation: Professor Bruno Miguel Brás Cabral and Professor Nuno António Marques Lourenço.


Financial conditions: The amount of the fellowship is € 835,98 corresponding to the monthly compensation stipulated in the FCT table (https://www.fct.pt/apoios/bolsas/valores.phtml.en), plus social security (Seguro Social Voluntário, first level contributions) and personal accidents insurance. The payment will be made by bank transfer. This amount will not be increased during the entire period of the fellowship duration.


Selection methods: Curriculum Evaluation (50%) and Interview (50%).


Selection criteria:

In the Curriculum Evaluation, will be considered the following criteria:

- Academic achievement in subjects in the areas of Programming, Computational Learning and Artificial Intelligence (30%)

- Average of the degree and average of the subjects already held (taking into account the number of subjects already held) (20%)


In the interview, will be considered the following criteria:

- Demonstration of interest in research development in the areas of Artificial Intelligence, Data Science and Computational Learning (40%)

- Motivation (10%).


Jury responsible for selection: Professor Bruno Miguel Brás Cabral, Professor João Paulo de Sousa Ferreira Fernandes and Professor Nuno António Marques Lourenço.


Formalization of application: Applications must be formalized by sending the following documents:

1 – Detailed CV;

2 – Motivation Letter;

3 - Copy of the Degree Certificate

4 – Manifestation of Intent to enroll in the Master's Degree or in the non-academic degree course (mentioned in the body of the application email) or proof of enrollment in the Master's Degree or in the non-academic degree course.


Declaration on the honor of the candidate(s) with the indication of the fellowship(s) of the typology to which the contest was held and the respective duration(s).


Applicants with academic degrees obtained abroad will be required to present a Certificate of Recognition in accordance with applicable law. This document is mandatory only in the contractualization phase.


Applications submission: Applications should be sent by e-mail to avila@dei.uc.pt and bcabral@dei.uc.pt, with the header CAMELOT - 786117.


Submission of applications: Between 03/01/2022 and 14/01/2022.


Submission deadline date: 14/01/2022.


Additional information: The evaluation results will be announced within 90 working days after the end of the applications submission deadline, by notifying the applicants via email. After the announcement of the results, candidates are considered automatically notified to, if they wish to do so, comment on the results on a preliminary hearing period within 10 days after that date. After this, the selected candidates will have to declare in writing their acceptance. Unless a justification worthy of consideration is presented, if the declaration is not submitted within the referred period, it is considered that the candidate waivers the fellowship. In case of resignation or withdrawal of the selected candidate, the next candidate with the highest evaluation score will be notified immediately.

Once the selection process is completed, the fellowship contract will be drawn up in accordance with the draft contract provided by the FCT.

After the contracted period, the fellowship holder and supervisor must prepare the final report in accordance with the respective assessment criteria that were established.


Selection reserve list: n.a.

Work location(s)
1 position(s) available at
Universidade de Coimbra

EURAXESS offer ID: 723373


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