Job reference: AE2019-0116 (LNDetector – CBER)
INESC TEC – Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência
Position: Scientific Initiation Grants (BIC)
Main: COMPUTER SCIENCE
Job summary: INESC TEC is accepting applications to award 1 Scientific Iniciation Grant .
Project: Automatic Detection, Segmentation and Classification of Pulmonary Nodules System in Computed Tomography Images
Scientific Advisor: António Cunha
Duration Grant: from 2019-07-01 to 2019-11-30 (5) – Eventually renewable until the project conclusion or budget.
Location: INESC TEC, Porto, Portugal
Work Area: Computer-Aided Diagnosis (CAD) in Lung’s CT scans
Project overview: The candidate will integrate the LNDetector project, which aims to develop a CAD prototype for nodule detection in computerized tomography images (CT). The prototype (already developed) will be working in the radiology of FMUP / CHSJoão, where physicians eyetracking data are collected during TAC analysis. The candidate will be responsible for the collection of data and the development of methodologies for gaze characterization and the study of the strategies used by radiologists during image analysis.
Objectives: Collection of eyetracking data produced by the LNDetector prototype and development of methods to characterize the gaze and strategies used by radiologists during TAC analysis.
Academic Qualifications: Students enrolled for the 1st time in 1st cycle of higher education or in a master’s degree.
Minimum Profile required: Bachelor with a grade greater than or equal to 14. Candidates with a minimum of 70% in the CV + Dom will be interviewed.
Preference factors: Interested in obtaining a M.Sc. degree, in the subject of the project; Experience in at least one of the fields of Image Analysis, Computer Vision or Machine Learning; scientific publications.
Monthly Grant: €388,81 according to the Stipends values of the grants awarded directly by the FCT, paid by bank transfer. The grant holder may also benefit from additional incomes in the sequence of a quarterly evaluation process (Clauses 12 and 13 of INESC TEC Grants Regulation and Annex II), up to a maximum of 50% of the monthly grant.
Project duration: 2016-06-01 a 2019-11-30
Funding Entity: Funded by FEDER through the Operational Programme for Competitiveness and Internationalisation – COMPETE 2020 Programme, and by National Funds through the FCT – Portuguese Foundation for Science and Technology, I.P., within project PTDC/EEI-SII/6599/2014 (POCI-01-0145-FEDER-016673) .
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 www.inesctec.pt/grants
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: 70% curriculum evaluation (30% CV, 25% scientific domains
and 15% Expertise) and 30% interview. Only those candidates who obtain at least 70% in the curricular evaluation (CV + Scientific Domain + Experience) will be called for the interview.
President of the Jury: Prof. Aurélio Campilho;
Member: Prof. António Cunha;
Member: Prof. João Manuel Pedrosa;
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 2019-05-29 to 2019-06-12
Application submission: Fill in the electronic form in the section Work with Us at www.inesctec.pt, , attaching the Curriculum Vitae, copy of school enrollment and other supporting documents relevant to the final assessment.