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Postdoctoral Research Grant (BPD) Full-time

de Universidade da Beira Interior em Lisboa (Publicado em 19-11-2019)

Scientific Area: Mechanical Engineering, Industrial Engineering and Management.

Admission Requirements: The candidates should have a Ph.D. degree in Mechanical Engineering, or Industrial Engineering and Managements, or Informatics or Mathematics as well as research expertise in decision support systems and numerical computing software for analysis and design processes such as MatLab and Mathematica. Knowledge in Multi-criteria decision systems, Probability and statistics, Data structure and algorithms, Data modellign, Operational research and Artificial Intelligence (machine learning and/or deep learning) are preferable factors. Special relevance will be given to candidates with articles published in scientific journals indexed to the ISI or Scopus databases and who regularly publish at this level. Candidates should have very high proficiency in the English language (minimum level C1, of the Common European Reference Framework for languages). Candidates should also be able to demonstrate high abilities for scientific work in multidisciplinary teams.

Required Documents for Admission: Cover letter explaining the interest in the position, detailed Curriculum Vitae with transcripts. Copy of the relevant certificates. Applications that are incomplete or do not comply with the above instructions may not be evaluated.

Work plan: This grant comprises the development of integrated support decision systems based on artificial intelligence algorithms for the product chain processes optimization from ?farm to fork? to assist actors (producers, distributors and final traders) regarding time and place to market (short or long distribution) and dynamic product price evolution depending on product quality, in order to reduce environmental impact and waste, improve product quality and productivity, and profit of different players, while being able to predict product traceability.

The research work involves:

1. Up to date literature review.

2. Preparation of scientific review publications (meta-studies) of the state of the art.

3. Development of integrated support decision systems based on artificial intelligence algorithms.

4. Test and validation of prediction results.

5. Preparation of scientific publications with the analysis and discussion of the results.

Legislation and applicable regulations: Statute of the Scientific Research Grant approved by the Law 40/2004, August 18th, in its current wording, as well as the Regulation of Research Grants of the Foundation for Science and Technology IP (FCT) (www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2018.pdf ).

Place of Work: The work will be developed at the premises of C-MAST-Centre for Mechanical and Aerospace Sciences and Technologies and Department of Electromechanical Engineering of the University of Beira Interior, Covilhã, Portugal, under the scientific guidance of Professor Pedro Dinis Gaspar.

Duration of the grant: The scholarship is expected to start in December 2019/January 2020 and end on 31/12/2020 (date of conclusion of the project approved in headquarters decision).

Amount of the monthly maintenance allowance: The monthly amount of the grant is 1.509,80? in accordance with the values stipulated by the ?Regulations for Advanced Training and Qualification of Human Resources? of FCT (http://www.fct.pt/apoios/bolsas/valores.phtml.en).

The monthly amount shall be rendered payable via bank transfer to an account held by the grantee.

Voluntary social insurance is added to the value of the scholarship, if the candidate so chooses, as well as personal accident insurance.

Selection methods: The selection and ranking of the candidates will be carried out in the first phase based on the following parameters and on a scale from 0 to 20: A - Scientific publications in areas of the work plan (50%); B - Assessment of the academic, scientific, technical and professional curriculum and its adequacy to the work program (50% weight), highlighting the skills described in the admission requirements. In the case of a tie in the first evaluation phase, a second evaluation phase will be included in which candidates who have obtained the highest marks will be invited to an interview to assess their profile as a researcher, which will take into account aspects such as specific knowledge and proven experience in the field, motivation, availability, commitment, among other aspects. In case there is a need for a two stage process, the final classification will be calculated as the average between the classification obtained in the first phase (50% weighting) and the classification obtained in the interview (50% weighting), and expressed in the scale of 0 to 20 points.

Composition of the Selection Jury: Professor Paulo Jorge dos Santos Pimentel de Oliveira (President of the Jury); Professor Doutor Pedro Miguel de Figueiredo Dinis Oliveira Gaspar (supervisor) and Professor Doutor Pedro Nuno Dinho Pinto da Silva (Effective members); Professor Doutor Luís Carlos Carvalho Pires (Substitute member).

Form of publication / notification of results: The final evaluation results will be publicized through an ordered list, and the approved candidates will be notified of the Jury?s decision by email.

Documents to be submitted format (by email): Citizen card details (validity, civil identification number, tax identification number) or Passport; Detailed curriculum vitae; motivation letter; copy of academic study certificates; a one page formal declaration that the candidate is fully aware that to keep the grant he/she must, in Portugal, be exclusively associated with C-MAST FCT Research Unit Nº 151 during all the time he/she receives the grant; other relevant documents (optional).

Application deadline: The call is open from 3 December 2019 until 16 December 2019. Applications must be formalized, by sending an email of application, with the subject ?Post-doctoral grant_EMADES_PDG2?.

Applications must be sent to [email protected]

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