FFUP| One Assistant Professor| Chemical Sciences- Notice 1410P/2025- Pr. 103 (2023.14718.TENURE.002) Porto

FFUP| One Assistant Professor| Chemical Sciences- Notice 1410P/2025- Pr. 103 (2023.14718.TENURE.002)
Porto
Porto, Porto District, Portugal

Organisation/Company University of Porto Department Human Resources Department Research Field Chemistry » Other Researcher Profile Recognised Researcher (R2) Positions Ph
D Positions Country Portugal Application Deadline 12 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Permanent Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

UNIVERSITY OF PORTO

PUBLIC NOTICE 1410P/2025

Doctor Pedro Miguel Barbosa Alves Costa, Associate Professor at the Faculty of Engineering of the University of Porto, Vice-Rector of the same University:

I hereby inform that, by my order of July 21, 2025, in the exercise of the powers delegated by Dispatch No. 9493/2022, published in the Diário da República, 2nd series, No. 148 of August 2, and for a period of 30 working days, a documentary competition is opened for an Assistant Professor in the scientific domain of Exact Sciences, for the disciplinary area of Chemical Sciences, at the Faculty of Pharmacy of the University of Porto.

1. Applicable legal provisions

Articles 37 to 51, 61, and 62-A of the Statute of the University Teaching Career (ECDU), republished by Decree-Law No. 205/2009, of August 31, and amended by Law No. 8/2010, of May 13, and Regulation of Competitions for the Recruitment of Full, Associate, and Assistant Professors of the University of Porto (hereinafter referred to as the Regulation), approved by Dispatch No. 12913/2010, published in the Diário da República, 2nd series, No. 154, of August 10, and amended by Deliberation (excerpt) No. 380/2019, published in the Diário da República, 2nd series, No. 64, of April 1.

2. Funding

This competition is open under the FCT-Tenure Program – 1st Edition, published through the Notice of Competition Opening (AAC) with reference PRR n. º 02/CO6-i
O6/2024 and the application approved by the Foundation for Science and Technology with reference 2023. 14718. TENURE. 002

3. Job Description

3. 1. Scientific Area(s): Chemical Sciences

3. 2. Disciplinary Area(s): Chemical Sciences

3. 4. Number of vacancies: 1

3. 5. Remuneration: Level 1, index 195

3. 6. Functional content:

It will be the responsibility of the Assistant Professor to carry out the functions provided for in article 4 and in paragraph 3 of article 5 of the ECDU, namely, and according to the application better identified in point 2 of this notice:

• To carry out independent and internationally recognized research activities in the field of Artificial Intelligence in Chemistry, preferably with experience in the integration of artificial intelligence tools;
• To keep abreast of developments in the disciplinary field for which the position is advertised, as well as of its societal impact, particularly in relation to the work carried out at the Faculty of Pharmacy of the University of Porto and within the Associate Laboratory for Green Chemistry (LAQV);
• To contribute to the supervision of
  - and
  - cycle students;
• To promote and actively engage in the academic life of the University of Porto.

4. Administrative admission requirements for the competition

Under Article 41-A of the ECDU, only those who hold a Doctorate degree may be admitted to this competition.

If the doctorate was awarded by a foreign higher education institution, it must be recognized by a Portuguese higher education institution, in accordance with the provisions of Decree-Law No. 66/2018, published in the Diário da República, 1st series, No. 157, of August 16. This formality must be fulfilled by the time of hiring.

5. Approval on absolute merit

5. 1. In the absence of grounds for rejecting applications, the Jury will deliberate on their approval or disapproval on absolute merit, through justified nominal voting, with abstentions not being allowed.

5. 2. A candidate is considered approved on absolute merit if they are approved by an absolute majority of the voting jury members.

5. 3. The absolute merit approval of the candidates depends on holding a comprehensive curriculum that the jury considers to fundamentally possess scientific and pedagogical merit, research capacity, and developed activity compatible with the disciplinary area for which the competition was opened and suitable for the respective teaching category, as documented in the respective information submitted for the competition.

5. 4. For the purposes of the evaluation referred to in the previous point, a favorable vote must be substantiated by the cumulative fulfillment of the following qualitative and quantitative circumstances or requirements:

• To hold a curriculum vitae that the selection committee deems to demonstrate an appropriate scientific and pedagogical level, as well as research capacity and professional activity compatible with the disciplinary area, scientific subarea, and academic rank of the position being advertised;
• To possess expertise in the use of artificial intelligence tools applied to Chemical Sciences;
• To demonstrate advanced knowledge in the scientific subarea of Artificial Intelligence in Chemistry, including chemical data analysis, chemical process simulation, and molecular modelling;
• To have a significant record of publications* in reputable scientific journals;
• The Scientific and Pedagogical Project submitted by the candidate must not contain serious shortcomings or inaccuracies that would indicate the candidate lacks the required capacity to perform the duties of Assistant Professor in the disciplinary area and scientific subarea of the call, nor may it be disconnected from the candidate’s previous work.

Scientific articles with DOI, impact factor, and peer review, as indexed in the Journal Citation Reports (JCR, by Clarivate) or Scimago Journal & Country Rank (SJR).

6. Evaluation and ranking based on relative merit

Once successful candidates have been admitted based on absolute merit, the Selection Committee will proceed to their ranking by relative merit, based on the established selection dimensions and criteria, respective weighting and final valuation system, established under the provisions of no. 6 of Article 50 of the ECDU and Article 16 of the Regulations.

Candidates approved in absolute merit will be subject to a curricular evaluation, which will be complemented by a public hearing. This hearing, to which the candidates approved in absolute merit will be invited, is intended to clarify aspects related to their curriculum and
- pedagogical plan, considering the general duties assigned to university lecturers under Article 4 of the Statute of the University Teaching Career (ECDU), and will focus on the areas and respective criteria identified below.

6. 2. Aspects of the evaluation

• Scientific Merit (VMC) – 50%
• Experience and Pedagogical Merit (VEMP) – 25%
• University Extension Tasks and Economic and Social Valorization of Knowledge (VTC) - 3%
• University Management (VGU) – 2%
• Scientific-Pedagogical Project (PCP) – 20%

6. 3. Evaluation criteria

6. 3. 1. Criteria for evaluating the Scientific Merit aspect (VMC) - 50%

The scientific merit of the candidate will be assessed in the disciplinary area of Chemical Sciences, for which this call is open. The scope of this area shall be understood based on the range of fields and curricular units in which the candidate is expected to carry out work, specifically in the area of Artificial Intelligence applied to Chemical Sciences. Particular emphasis will be placed on the five scientific outputs or activities identified by the candidates as their most significant contributions to the advancement of knowledge in the disciplinary area and subarea for which the position is being advertised.

6. 3. 1. 1. Scientific production (MC1): scientific publications relevant to the area in which the recruitment process is open: books, book chapters, and articles in internationally indexed journals, scored according to the number, type of publication, and impact factor, when applicable (40%).

6. 3. 1. 2. Coordination and participation in scientific projects (MC2): Coordination or participation in competitively funded scientific projects through national or international agencies or other public or private entities in the area where the competition is open (20%).

6. 3. 1. 3. Peer Recognition (MC3): awards from scientific societies or obtained at scientific meetings, invited talks at scientific conferences or universities, membership in competitively admitted scientific societies, and other similar distinctions (20%).

6. 3. 1. 4. Postgraduate training and international experience (MC4): Internships, research scholarships, or additional academic training in national or foreign institutions of teaching or scientific research in the area for which the competition is open, lasting more than 3 months and resulting in measurable outcomes (publications; obtaining a degree, etc. ) (20%).

6. 3. 2. Criteria for evaluating the Experience and Pedagogical Merit aspect (VEMP) – 25%

The candidates’ teaching experience in higher education will be assessed, taking into account their teaching activity, with particular emphasis on the teaching and coordination of course units in the disciplinary area of Chemical Sciences and related to the specific field of Artificial Intelligence in Chemistry.

6. 3. 2. 1. Teaching experience/activity (EMP1): Teaching of course units coordinated and/or taught, and related to the disciplinary area and scientific subarea of the call: diversity, pedagogical practices and, where available, student population and results from surveys on teaching activity (pedagogical evaluations) (50%).

6. 3. 2. 2. Pedagogical Materials (EMP2): Quality and diversity of publications, software applications, texts, and other pedagogical and didactic materials produced/prepared by the candidate or in which the candidate participated (20%).

6. 3. 2. 3. Pedagogical Innovation (EMP3): Promotion of new pedagogical initiatives,
- founded and coherent proposals for the creation and/or revision of course units, and the establishment or enhancement of laboratory infrastructures to support teaching (10%).

6. 3. 2. 4. Supervision (EMP4): Experience in supervising or
- supervising doctoral, master's, and undergraduate students: number, quality, scope, and scientific/technological impact of the resulting publications, theses, dissertations, and final projects. Award-winning works and international recognition should be highlighted (20%).

6. 3. 3. Criteria for the evaluation of the University Extension Tasks and Economic and Social Valorization of Knowledge (VTC) – 3%

In this category, the economic and social valorization of knowledge will be assessed, including knowledge transfer in the disciplinary area of Chemical Sciences, particularly within the specific domain of Artificial Intelligence.

6. 3. 3. 1. Economic and Social Valorization of Knowledge (TC1): Authorship and
- authorship of patents, technologies, utility models, and industrial designs. The nature, territorial scope, technological level, and achieved results should be emphasized, as well as entrepreneurial initiatives by the candidates or those with significant participation (50%).

6. 3. 3. 2. Participation in Editorial Activities and Manuscript Peer-Review (TC2): (15%)

6. 3. 3. 3. Participation in Evaluation Panels (TC3): Peer review activities (programmes, projects, scholarships, awards) (15%).

6. 3. 3. 4. Organization of Seminars, Conferences, and Meetings (Workshops) (TC4): (20%).

6. 3. 4. Criteria for the evaluation of the University Management (VGU) – 2%

6. 3. 4. 1. Participation in University Management Bodies (GU1): (40%)

6. 3. 4. 2. Participation in Research Bodies (GU2): (30%)

6. 3. 4. 3. Participation in Master’s and Doctoral Examination Committees (GU3): (30%)

6. 3. 5. Criteria for the evaluation of the Scientific-Pedagogical Project (PCP) – 20%

The Scientific-Pedagogical Project (SPP) must focus on the area for which the competition is open and should particularly value
- pedagogical projects related to the research lines in the scientific subarea for which the competition is open, Artificial Intelligence in Chemistry. The candidate is expected to dedicate themselves to this area at FFUP, presenting the main problems they intend to address in their future scientific and pedagogical research. These problems should be contextualized within the current state of the art regarding the use of artificial intelligence (machine learning, deep learning, natural language processing) in the disciplinary area of Chemical Sciences. The candidate should provide a systematic and concise description of the research strategies they plan to adopt to develop their investigation and to solve or contribute to solving the problems identified, clearly explaining the reasons and motivations behind their choices.

7. Deliberations of the Selection Committee

7. 1. Scoring of Candidates

Each jury member conducts their reasoned assessment, scoring each candidate in relation to each aspect on a scale of 0 to 100 points, rounded to one decimal place, considering the criteria approved for each aspect, with a degree of rigor adjusted to the category for which the competition is open.

7. 2. Public Hearing

The jury may hold public hearings, under equal conditions for all candidates approved on absolute merit, with the purpose of personally clarifying the evaluation elements contained in the documentation submitted by the candidates.

If such public hearings are deemed necessary, they will take place between the 30th and 70th day following the application submission deadline. All candidates will be informed by email at least ten working days in advance of the date and location where these public hearings will be held.

7. 3. Final Result

The Final Result (FR) of the evaluation of each candidate by each jury member is calculated using the weighting formula of the various curricular aspects:

FR = (0. 50*VMC) + (0. 25*VEMP) + (0. 03*VTC) + (0. 02*VGU) + (0. 20*VPCP)

which reflects the weights associated with each aspect.

7. 4. Jury Deliberations

7. 4. 1. Any deliberation will result from Article 17, No. 12 of the Regulation, applicable by virtue of Article 83-A of the ECDU, which determined its approval with a view to implementing the norms of that legal diploma, covering the procedural processing of competitions, namely the system of evaluation and final classification. Consequently, under Article 17, No. 12 of the aforementioned Regulation, the jury will deliberate through a nominal vote based on the selection criteria adopted and disclosed for the approval and ranking of candidates, with an absolute majority required for any deliberation, and abstentions not permitted.

7. 4. 2. Seriation Methodology

In the different votes, each member of the Selection Committee must respect the ranking list, observing the following in each vote:

• the first voting round is intended to determine the candidate placed in first place by counting the number of votes each candidate received for that place;
• if a candidate obtains an absolute majority of votes for the first place, must be placed in the respective position and removed from the vote. The procedure will start to choose the candidate who will be positioned in the second place of the voting round;
• if no candidate obtains an absolute majority of votes for the first place, a new voting round will be held, which will only include candidates who have achieved votes for the first place, upon removing the least voted candidate in the previous vote for that place;
• if there is a tie between two or more candidates in the