Job reference: AE2018-0345 (LNDetector – CBER)
INESC TEC – Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência
Position: Research Grants (BI)
Research field: COMPUTER SCIENCE, ENGINEERING
Job summary: INESC TEC is accepting applications to award 1 Research Grant for MSC .
Project: Automatic Detection, Segmentation and Classification of Pulmonary Nodules System in Computed Tomography Images
Scientific Advisor: Aurélio Campilho
Duration Grant: from 2018-12-17 to 2019-05-31 (5) eventually renewable.
Location: INESC TEC, Porto, Portugal
Work Area: Computer-Aided Diagnosis (CAD) in Lung’s CT scans
Project overview: The candidate will collaborate in task T5 – Prototype Validation, of the LNDetector project, with the main objectives of assembling the modules developed in the other tasks into a working prototype, as well as validating the results of these modules. The
developed prototype should also be tested in clinical environment.
1) Development of prototype for the detection, segmentation and characterization of pulmonary nodules;
2) Validation of the prototype in clinical environment.
Academic Qualifications: M.Sc in 1: Elect. and Comp. Eng., Informatics/Com. Science, Biomedical Eng./similar.
Minimum Profile required: MSc with a grade greater than or equal to 14*. Interviewed Candidates with a minimum of 70% in the CV + Dom *Grade for Integrated MSc or Bachelor or weighted grade of MSc and Bachelor.
Preference factors: Interested in obtaining a M.Sc. or Ph.D. 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: €980,00 (MSC) 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: 2016-06-01 a 2019-05-31
Funding Entity: ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation – COMPETE 2020 Programme, and by National Funds (PIDDAC) through the FCT/MCTES 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. Jorge Silva;
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 2018-11-20 to 2018-12-14
Application submission: Fill in the electronic form in the section Work with Us at www.inesctec.pt, , attaching the Curriculum Vitae, certificate of qualifications and other supporting documents relevant to the final assessment.