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Job ID: 120970

INESC TEC is accepting applications to award 1 Postdoctoral Grant - FailStopper

Date Posted Mar. 13, 2019
Title INESC TEC is accepting applications to award 1 Postdoctoral Grant - FailStopper
University INESC TEC
United States
Department LIAAD
Application Deadline Apr. 9, 2019
Position Start Date Available immediately
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  • Graduate Student
  • Engineering - Other
    Computer Science

Job reference: AE2019-0075 (FailStopper – LIAAD)

INESC TEC – Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência

Position: Post-Doc Grants (BPD)

City: Porto

Research field:
Sub: Database management,Informatics,Programming

Job summary: INESC TEC is accepting applications to award 1 Postdoctoral Grant .

Scientific Advisor: Rita Paula Ribeiro

Duration Grant: from 2019-05-01 to 2020-04-30 (12) – Eventually renewable until the project conclusion or budget.

Location: INESC TEC, Porto, Portugal

Work Area: Data Mining, Predictive Maintenance

Project overview: The CompressedAir Production Unit in the Metro do Porto fleet is a system without redundancy that most contribute to the cancellation of trips during its regular operation. Taking advantage of sensors that will collect data on a regular basis from this system, the goal is to use different learning approaches to develop early failure detection models so that the maintenance team can be notified of a failure in
development. Finally, a system should be developed to explain what caused the failure.

Objectives: The main goals are: review the state-of-the-art of data mining methods for predictive maintenance problems; perform a data exploratory analysis of the sensors transmitted data; apply different learning strategies for anomaly detection; study suitable metrics to assess the effectiveness of models in the early failure detection; diagnose the faults that caused the failure and study the possibility of optimizing the process of detecting the anomalies.

Academic Qualifications: PhD in Computer Science or related areas.

Minimum Profile required: Strong background on data mining with good scientific and programming skills.

Preference factors: Knowledge of techniques related to the detection of anomalies and learning from imbalanced data domains. Knowledge of R and/or Python.

Monthly Grant: €1509,80 according to the Stipends values of the grants awarded directly by the FCT, paid by bank transfer. The grant holder can receive additional payments by participating in complementary contracts or projects that contribute to the work plan (Clauses 12 and 13 of INESC TEC Grants Regulation and Annex II), in accordance
with paragraph 4 of article 5 of Research Grant Holder Statute, approved by Law n 40/2004, dated 18 August, up to a maximum of 50% of the monthly grant.

Project duration: 2018-12-01 a 2020-11-30

Funding Entity: Financed with national funds by FCT – Portuguese Foundation for Science and Technology, I.P.,in the scope ofthe project DSAIPA/DS/0086/2018.

The grant contract shall be submitted to the legislation concerning the Research Grant Holder Statute , approved by Law n 40/2004, dated 18 August, amended and republished by Decree-Law No. 202/2012 of 27 August and amended by Decree-Law No. 233/2012 of 29 October and by Law No. 12/2013, of January 29, and Decree-Law No. 89/2013 of July 9 as well as by INESC TEC Grant Regulation , approved by FCT – Fundação para a Ciência e a Tecnologia (Science and Technology Foundation) in 12 January 2011 and FCT current Grant Regulation. Additional information about INESC TEC Grants Regulation and relating annexes may be found at

Selection Criteria: Curriculum evaluation based on the criteria referred to in Clause 7 INESC TEC Grants Regulation and will include individual interviews in the final stage of the selection process, with its valuation: 85% curriculum evaluation (40% CV, 25% scientific domains
and 20% Expertise) and 15% interview. Only those candidates who obtain at least 70% in the curricular evaluation (CV + Scientific Domain + Experience) will be called for the interview.

Selection Jury:
President of the Jury: Prof. Rita Paula Ribeiro;
Member: Prof. João Gama;
Member: Prof. Alípio Jorge;

Notification of results: The results of the selection process will be disseminated to interested parties by mail, as referred to in Clause 8 of INESC TEC Grants Regulation.

Application period: From 2019-03-27 to 2019-04-09

Application submission: Fill in the electronic form in the section Work with Us at, , attaching the Curriculum Vitae, certificate of qualifications and other supporting documents relevant to the final assessment.

Please reference in your cover letter when
applying for or inquiring about this job announcement.

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