20/09/2022

Research Grant - Notice No. BI/12/FARM-ID/2022


  • ORGANISATION/COMPANY
    FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento
  • RESEARCH FIELD
    ChemistryOther
    EngineeringChemical engineering
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    04/10/2022 00:00 - Europe/London
  • LOCATION
    Portugal › Lisbon
  • TYPE OF CONTRACT
    Other
  • JOB STATUS
    Other
  • REFERENCE NUMBER
    PTDC/ART-HIS/0985/2021

OFFER DESCRIPTION

Under the Regulation of Research Grants of the Foundation for Science and Technology, IP, Regulation No. 950/2019, published in Diário da República, 2nd Series, No. 241, of December 16, 2019, of the Regulation of Research Grants of the University of Lisbon, Dispatch No. 6238/2020, of 12 June, published in Diário da República, 2nd Series, no. 113, of 12 June 2020, and of the Statute of the Research Fellowship (EBI), Decree-Law no. 123/2019, of 28 August, published in the Diário da República, 1st Series, no. 164, of 28 August 2019, it is made known that a call for the award of 1 (one) Research Grant within the scope of the project PTDC/ART-HIS/0985/2021, titled “ROADMAP - Research On Antonio De Holanda Miniatures Artistic Production”, funded by Foundation for Science and Technology, IP., is open under the following conditions:

Scientific Area: Chemical Engineering, Chemistry

Research Grant Duration: The research will have a duration of 6 months, eventually renewable up to a maximum of 18 months, starting in November 2022, on an exclusivity regime, in accordance with the terms of the Regulation of Research Grants of the Foundation for Science and Technology, IP.

Work plan: The working plan will be framed by the ROADMAP project and aims at the identification of the main fingerprints describing the relations between A.F. Holanda and those with whom he worked with, namely cartographers involved in the production of the Atlas Miller. The work involves an exhaustive comparison of materials gathered from Art History, Iconography, Visual Culture and material characterization of art works attributed to the artist. A chemometric approach will be used allowing the information coming from different sources to be efficiently combined towards maximizing the analysis output and reducing uncertainty. This project requires the combination of non-destructive analytical methods, images, molecular and surface data, codicology, iconography and visual culture. The materials, paints formulations and techniques of António de Holanda will be studied by extended unsupervised multivariate analysis. Multidimensional data composed by categorical data (iconography, codicology, colour extent of use), hyperspectral spectroscopy data (XRF, FT-IR, FT-NIR, FORS) and materials data (binders) will be complemented to create fingerprints characteristic of these manuscripts and to evaluate correlations between them. Drawing/painting techniques, IR reflectographies and hyperspectral measurements (to address materials essentially) and images (hyperspectral and images captured under visible, infrared and UV fluorescence radiation) will be processed with imaging tools. All the illuminations will be scanned in a fast-effective approach and the large collection of multidimensional images encompassing ultra-violet, visible and short-wave near infrared data processed with chemometric methods (using state-of-the-art pattern recognition methods, like convolution neural networks). Both spectral and spatial patterns extracted from high-resolution images are expected to be correlated with chemical descriptors. The aim is for the first time, to be able to discriminate not only samples based on its inorganic and organic information and to quickly estimate/identify the use of specific organic-dyes based paints in its acidic or basic environment, but also to identify the fingerprints of the relations between Holanda and those with whom he worked with. Programming skills (python and matlab) and image analysis competences will be crucial for the execution of this project. Python and Matlab toolboxes for systems identification, image analysis and chemometrics will be used (“Statistics and Machine Learning”, “Image Processing” and “Deep Learning” toolboxes).

Workplace and Scientific Guidance: The work will be carried out in the Pharmaceutical Engineering and Manufacturing Lab (PhEMLab) of iMed.ULisboa, at the premises of the Faculty of Pharmacy of the Universidade de Lisboa, under the scientific guidance of Dr. João Pedro Martins de Almeida Lopes, Assistant Professor, at the Faculty of Pharmacy of the Universidade de Lisboa.

Formalization of applications: Applications must be sent in non-editable format (PDF), to the address concursos@farm-id.pt, containing the identification of the above mentioned notice. Applications in paper format will not be accepted.

Application deadline: The deadline for applications is from 21 September to 4 October 2022 (10 working days).

Evaluation and rating criteria:

Candidate's Merit: It aims to assess compliance of the formal requirements required in the Opening Notice, but also to consider the adequacy of the scientific training area and/or specialization, training and professional experience, with a maximum weighting of 100%.

Adequacy of the Scientific Training Area (AACF): Candidates will be ranked based on suitability for the area described in the “Admission Requirements” with a maximum weighting of 25%.

Training and Experience (FE): Candidates will be ranked based on scientific production (scientific publications), participation in research projects and other indicators of scientific productivity, with a maximum weighting of 25%.

​​​​​​​​​​​​​​Specific competencies for the proposed work plan (CEPTP): Candidates will be ranked based on their demonstrated experience in the areas considered relevant for this project, namely the areas of chemometrics, non-destructive instrumental methods, image analysis and programming skills, with a maximum weighting of 50%.

Individual Selection Interview:

If necessary, an individual interview will be carried out with the two best ranked candidates, with a weighting of 40% and a maximum validation of 30 minutes, in order to objectively and systematically evaluate the following criteria:

Knowledge in the area
Ability to expression and verbal fluency
Motivation
Critical Sense

The score of the Individual Interview will be obtained by the simple arithmetic mean of the classification criteria, which will be done according to the following parameters: High (20 values), Good (16 values), Sufficient (12 values), Low (8 values) and Insufficient (4 values), an individual form being filled out for each candidate.

Final Classification: The score obtained in the final classification results from the sum of the points obtained in the Candidate's Merit, an individual form being filled out for each candidate. In the case of an Interview, the AACF will be worth 20%, the FE will be worth 20%, and the CEPTP will be worth 20%, and the Interview will have a weight of 40%.

More Information

Benefits

The monthly maintenance allowence corresponds to 875,98€ , according to the tableofvalues directly attributed by FCT, I.P. in Portugal (https://www.fct.pt/apoios/bolsas/valores). Payment will be made via bank transfer.

 

In addition to the monthly maintenance stipend the grant holder will also be awarded withthevalue correspondent to the payment of the first step of Seguro Social Voluntário(voluntarypayment of Social Security), in case he/she chooses to be included in this regime.

Eligibility criteria

a) Form containing the candidate's identification (available on the FARM-ID’s website);

b) Curriculum Vitae containing the information necessary for the evaluation of the application;

c) Certificate of BSc in Chemical Engineering, Chemistry or related areas, or declaration of honour;

d) Proof of enrolment in a MSc degree course or Integrated MSc Degree in Chemical Engineering, Pharmaceutical Engineering, Chemistry or related areas, or declaration of honour;

e) Declaration on honour stating that there is no professional activity that violates the exclusivity regime (available on the FARM-ID’s website);

f) Letter of motivation;

g) Two recommendation letters:

h) Other supporting documents considered relevant.

 

The documents that instruct the application must be submitted in Portuguese or English language.

 

No document that should have been submitted in the application phase can be submitted after the deadline set in the opening notice. Failure to comply with the deadline set for the submission of the application, as well as the lack or late submission of documents referred to in this point will determine the exclusion from the competition.

Selection process

Composition of the Jury: The Jury responsible for the selection will be constituted by:

President – Dr. João Pedro Martins de Almeida Lopes, Assistant Professor, Faculty of Pharmacy of the Universidade de Lisboa;

1st Member of the Jury – Dr. Catarina Amélia Pereira Miguel de Sousa Cabral, Assistant Researcher, Laboratory Hercules, University of Évora;

2nd Member of the Jury – Dr. Pedro Eugénio Dias Ferreira de Almeida Flor, Assistant Professor, Universidade Aberta;

1st Alternate Member of the Jury – Dr. Ana Catarina Beco Pinto Reis, Assistant Professor, Faculty of Pharmacy of the Universidade de Lisboa;

2nd Alternate Member of the Jury – Dr. Helena Isabel Fialho Florindo Roque Ferreira, Associate Professor, Faculty of Pharmacy of the Universidade de Lisboa.

Additional comments

Form of notification of results: All candidates will be notified of the final results of the evaluation by email, and will have 10 working days after the aforementioned notification to say something, in accordance with the terms of the Code of Administrative Procedure.

 

After this notification, and in case there are no claims, the results will become final. In case of claims, and after the allegation is analysed and accepted or rejected, the results will become final after 10 business days.

 

After the final decision is made, a complaint/appeal can be filed to the Director of the FARM-ID – Faculty of Pharmacy Research and Development Association, Maria Beatriz da Silva Lima, PhD, Full Professor, within 10 working days from the date of notification.

 

Applicable legislation and regulations: Regulation of Research Grants of the Foundation for Science and Technology, I.P. (FCT, IP), Regulation no. 950/2019, published in the Diário da República, 2nd Series, no. 241, of December 16, 2019, of the Regulation of Research Grants of the University of Lisbon, Order no. 6238/2020, of 12 June, published in the Diário da República, 2nd Series, no. 113, of 12 June 2020, and of the Research Fellowship Statute (EBI), Decree-Law no. 123/2019, of 28 August, published in Diário da República, 1st Series, no. 164, of 28 August 2019.

Web site for additional job details

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Chemistry: Bachelor Degree or equivalent
    Engineering: Bachelor Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent
    PORTUGUESE: Excellent

Skills/Qualifications

  • Experience in chemometrics, non-destructive instrumental analytical methods and image analysis (e.g., deep vision);
  • Experience in Matlab and Python programming.

Specific Requirements

  • BSc in Chemical Engineering, Chemistry or related areas;
  • Being enrolled in a MSc degree course or Integrated MSc Degree in Chemical Engineering, Pharmaceutical Engineering, Chemistry or related areas.

* If the candidates do not have in their possession, at the application stage, the documents proving that they hold a BSc and/or enrolment in a MSc degree course or Integrated MSc Degree, these may be replaced by a declaration of honour. The proof shall be made until de contractualisation, under penalty of annulment of the candidate’s evaluation due to an error on the factual assumptions and consequent exclusion from the present contest.

Map Information

Job Work Location Personal Assistance locations
Work location(s)
1 position(s) available at
FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento
Portugal
Lisbon
1649-003
Av. Professor Gama Pinto, s/n

EURAXESS offer ID: 838953

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