- JOB
- Portugal
- EXPIRES SOON
Job Information
- Organisation/Company
- INESC ID
- Research Field
- Engineering » Computer engineering
- Researcher Profile
- First Stage Researcher (R1)
- Positions
- Bachelor Positions
- Country
- Portugal
- Application Deadline
- Type of Contract
- Not Applicable
- Job Status
- Not Applicable
- Is the job funded through the EU Research Framework Programme?
- Not funded by a EU programme
- Reference Number
- BI|2025/723 - COFFEE FLOWER – Refª 2022.01547.PTDC
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Public notice for research grant Refª BI|2025/723
Project COFFEE FLOWER – Refª 2022.01547.PTDC
funded by Fundação para a Ciência e a Tecnologia
*Application submission from 1 to 16 of July 2025*
WHO WE ARE
INESC-ID (www.inesc-id.pt) , “Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer Engineering.
INESC-ID’s research impact is focused on four Thematic Lines
Energy transition
Life and health technology
Security and privacy.
Societal digital transformation.
INESC-ID promotes cooperation between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and direct contracted research. Therefore, public and private entities have access to a pool of knowledge, resources and services provided through the unique competencies available at the institution.
INESC ID has a strong international academic environment and inclusive work environment.
ONE (1) research grant for students with BSc degree with reference number Refª BI|2025/723 under the scope of the Project COFFEE FLOWER – Refª 2022.01547.PTDC, funded by Fundação para a Ciência e a Tecnologia, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
The CoffeeFlower project addresses a fundamental problem to agricultural productivity and sustainability, regarding the impact of warming (supra-optimal temperatures) in flower fertility of coffee (Coffea canephora and Coffea arabica). While previous findings showed that some elite genotypes have greater intrinsic heat resilience than expected at leaf level, and that elevated air CO2 can increase such resilience, there is a clear lack of knowledge about how heat can disturb flower development and fertility, and whether it is affected by CO2 levels.
This work will tackle the integrative bioinformatics analysis of the multi-omic molecular data generated by the project partners working in the field/greenhouse with the aim of unveiling molecular mechanisms underpinning the effect of temperature and CO2 in coffee flowering. This will encompass developing a custom data analysis pipeline that employs state-of-the-art bioinformatics techniques for the analysis of multi-dimensional multi-omics data, as well as exploring novel Artificial Intelligence methods.
BINDING LEGISLATION
Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording.
https://diariodarepublica.pt/dr/legislacao-consolidada/lei/2004-58216179
Regulations for Research Grants of the Foundation for Science and Technology in force
https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533
INESC-ID Lisboa Grant Regulations in force
https://www.inesc-id.pt/scholarship-regulations/
The fellowship contract is awarded on an exclusive dedication basis – art. 5 of Scientific Research Fellow Status and art. 16 of Regulations for Research Grants of the Foundation for Science and Technology.
DURATION
SIX (6) months, starting in September 2025, renewable subject to suitable performance within the period of the project, not exceeding the maximum period set by FCT for such grants.
RENEWALL
Renewable is subject to performance if the candidate is enrolled in a
MSc program - art. 6º, n.4 b)
https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
subject to suitable performance within the period of the project, not exceeding the maximum period set by FCT for such grants – 2 years (included contract renewals)
Renewable is subject to performance if the candidate is enrolled in a
Non-degree programme – art. 6º, n. 4 a)
https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
subject to suitable performance within the period of the project, not exceeding the maximum period set by FCT for such grants – 1 year (included contract renewals)
MONTHLY AMOUNT
The monthly amount of the grant is 1040,98€ according to the “Regulations for Research Grants of the Foundation for Science and Technology” in force.
The payment will be made through a monthly bank transfer to a portuguese bank account, held by the grantee.
https://www.fct.pt/wp-content/uploads/2025/02/Tabela_valores_SMM_2025.p…
SCIENTIFIC SUPERVISION
The activity will be supervised by Danie Faria, Assistant Professor at Instituto Superior Técnico and Researcher at INESC ID.
WORKPLACE
INESC ID - Headquarters Rua Alves Redol, 9, 1000-029 Lisboa
INESC-ID - Taguspark Avenida Professor Cavaco Silva, Edifício IST 2744-016 Porto Salvo
INESC-ID Energia IST - Departamento de Engenharia Electrotécnica e de Computadores, Área de Energia, Av. Rovisco Pais 1049-001 Lisboa
ELIGIBILITY CONDITIONS
Any national, foreign and stateless candidate(s) holding a BSC in Biological Engineering, Bioinformatics or related and with a suitable scientific and professional curriculum may apply.
The candidate(s) must be enrolled in a
MSc program - art. 6º, n.4 b)
https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533
or
Non-degree programme – art. 6º, n. 4 a)
https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533
The applicants are required to have proficiency in Portuguese and English, both written and spoken, as well as being enthusiastic, proactive, collaborative and able to work individually and as a team.
Preferential factors:
Preference will be given to candidates with suitable scientific and professional curriculum such as:
- Prior experience in bioinformatics analysis of multi-omics data, especially from plants; expertise in developing data analysis pipelines in Python using Pandas
EVALUATION CRITERIA
The selection will be based on the following criteria:
- 70% adequacy of the curriculum vitae
- 15% motivation letter
- 15% relevant grades and prior experience
The evaluation panel assigns a classification to each of the candidates on a scale of 0 to 100 points, ranking the candidates according to their classification consisting on the sum of the partial classifications assigned in each evaluation criterion, and considering the weighting factor given to each parameter. In this process abstentions are not allowed.
In the event of a tie among candidates with the same highest evaluation score, the Evaluation Panel reserves the right to conduct interviews to have a more objective assessment of specific criteria.
If an interview is conducted, the punctuation proposed by each member of the evaluation panel is obtained by assigning a weighting factor of 80% to the CV, and a weighting factor of 20% to the interview.
Additionally, the evaluation panel retains the discretion to withhold the scholarship if the candidates fail to fulfil the stipulated requirements.
The evaluation panel may also decide not to assign the scholarship, if none of candidates meets the required conditions.
If the requirements mentioned above are not fulfilled, the evaluation panel may choose not to select a candidate.
Candidates with an average score below 70, are not recommended for hiring
Minutes of the evaluation panel meeting are drawn up with a summary of what has taken place in the meeting, as well as the votes emitted by the jury, being available to the candidates whenever requested.
EVALUATION PANEL
Jury
Name
Professional Status
Institutions
President
Daniel Pedro de Jesus Faria
Researcher / Assistant Professor
INESC ID - Tecnico | Ulisboa
Member
Emanuel Gonçalves
Researcher / Assistant Professor
INESC ID - Tecnico | Ulisboa
Member
Jorge dos Santos Oliveira
Researcher / Invited Professor
INESC ID - Tecnico | Ulisboa
Substitute member
Rui Henriques
Researcher / Assistant Professor
INESC ID - Tecnico | Ulisboa
Substitute member
Alessandro Gianola
Researcher / Assistant Professor
INESC ID - Tecnico | Ulisboa
APPLICATION
The application and supporting documents must be submitted via email to bolsas@inesc-id.pt.
The application email should clearly state the reference of the grant on the subject.
BI|2025/723 - COFFEE FLOWER – Refª 2022.01547.PTDC
Applications without the reference of the grant will not be considered
The candidate should clearly state his / her consent so that the communications and notifications in the context of this call can take place to the electronic address bolsas@inesc-id.pt.
The application and supporting documents may be submitted in Portuguese or English, although the President of the evaluation panel when a member of the evaluation panel is a non-native Portuguese speaker, may request that, within a reasonable time, the candidate translates into English a document previously presented in Portuguese.
Candidates who submit their application incorrectly or who do not prove the requirements required in this public notice are excluded from admission. In case of doubt, the evaluation panel may demand any candidate to present documents proving those statements.
False statements by the candidates will be punished according to the law.
SUPPORTING DOCUMENTS
The supporting documents listed below must be presented in pdf form.
Applications without the requested documents may not be considered
Supporting documents presented in another format will not be considered by the evaluation panel.
- Motivation letter
Addressed to the Evaluation Panel, including full name, and contact address, including email address and telephone.;
- Detailed curriculum vitae;
- Single copy of official academic degree certificate required in the ELIGIBILITY CONDITIONS
- In the application submission, the candidates may replace the copy of official academic degree certificate by a declaration of honour, stating that they have the required academic degree.
It is mandatory for the approval of the fellowship contract that the selected candidate presents a single copy of the official academic degree certificate, required in education level.
In the application submission, the candidates from foreign education institutions may replace the copy of the official academic degree certificate by declaration of honour, stating that they have the required academic degree.
It is mandatory for the approval of the fellowship contract that the selected candidate presents a single copy of the official diploma required in education level.
- Detailed list of grades
- Proof of enrolment required in the ELIGIBILITY CONDITIONS at grant starting date;
In the application submission, the candidates may replace the proof of enrolment by a declaration of honour, stating that they are/will be enrolled in the program required ELIGIBILITY CONDITIONS
It is mandatory for the approval of the fellowship, that the selected candidate present the official proof of enrollment required in the ELIGIBILITY CONDITIONS .
NOTIFICATION, PRIOR HEARING, COMPLAIN AND APPEAL DEADLINES
The admitted and excluded candidates will be notified by email of the final ranking list.
After being notified, all candidates have 10 working days to submit a formal rebuttal. After that period, the evaluation panel notifies the candidates of the final report.
Excluded candidates may complain about the evaluation panel final report for 15 working days after notification or appeal to the evaluation panel decision to the INESC ID Board of Directors for 30 working days, after notification.
Non-discrimination and equal access policy
INESC-ID actively promotes a policy of non-discrimination and equal access, so that no candidate can be privileged, benefited, disadvantaged or deprived of any right or exemption from any duty owing, in particular, to ancestry, age, sex, sexual orientation, marital status, family status, economic situation, education, social origin or condition, genetic heritage, reduced working capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion, political or ideological beliefs and trade union membership.
Under the terms of D.L. No. 29/2001, of February 3, a disabled candidate has a preference when in equal classification, which prevails over any other legal preference. Candidates must declare on the application form their respective degree of disability, the type of disability and the means of communication / expression to be used in the selection process, under the terms of the aforementioned diploma.
Where to apply
- bolsas@inesc-id.pt
Requirements
- Research Field
- Engineering » Computer engineering
- Education Level
- Bachelor Degree or equivalent
ONE (1) research grant for students with BSc degree with reference number Refª BI|2025/723 under the scope of the Project COFFEE FLOWER – Refª 2022.01547.PTDC, funded by Fundação para a Ciência e a Tecnologia, is now available under the following conditions:
OBJECTIVES | FUNCTIONS
The CoffeeFlower project addresses a fundamental problem to agricultural productivity and sustainability, regarding the impact of warming (supra-optimal temperatures) in flower fertility of coffee (Coffea canephora and Coffea arabica). While previous findings showed that some elite genotypes have greater intrinsic heat resilience than expected at leaf level, and that elevated air CO2 can increase such resilience, there is a clear lack of knowledge about how heat can disturb flower development and fertility, and whether it is affected by CO2 levels.
This work will tackle the integrative bioinformatics analysis of the multi-omic molecular data generated by the project partners working in the field/greenhouse with the aim of unveiling molecular mechanisms underpinning the effect of temperature and CO2 in coffee flowering. This will encompass developing a custom data analysis pipeline that employs state-of-the-art bioinformatics techniques for the analysis of multi-dimensional multi-omics data, as well as exploring novel Artificial Intelligence methods.
Any national, foreign and stateless candidate(s) holding a BSC in Biological Engineering, Bioinformatics or related and with a suitable scientific and professional curriculum may apply.
The candidate(s) must be enrolled in a
MSc program - art. 6º, n.4 b)
https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533
or
Non-degree programme – art. 6º, n. 4 a)
https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533
The applicants are required to have proficiency in Portuguese and English, both written and spoken, as well as being enthusiastic, proactive, collaborative and able to work individually and as a team.
Preferential factors:
Preference will be given to candidates with suitable scientific and professional curriculum such as:
- Prior experience in bioinformatics analysis of multi-omics data, especially from plants; expertise in developing data analysis pipelines in Python using Pandas
Additional Information
The monthly amount of the grant is 1040,98€ according to the “Regulations for Research Grants of the Foundation for Science and Technology” in force.
The payment will be made through a monthly bank transfer to a portuguese bank account, held by the grantee.
https://www.fct.pt/wp-content/uploads/2025/02/Tabela_valores_SMM_2025.p…
Any national, foreign and stateless candidate(s) holding a BSC in Biological Engineering, Bioinformatics or related and with a suitable scientific and professional curriculum may apply.
The candidate(s) must be enrolled in a
MSc program - art. 6º, n.4 b)
https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533
or
Non-degree programme – art. 6º, n. 4 a)
https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533
The applicants are required to have proficiency in Portuguese and English, both written and spoken, as well as being enthusiastic, proactive, collaborative and able to work individually and as a team.
Preferential factors:
Preference will be given to candidates with suitable scientific and professional curriculum such as:
- Prior experience in bioinformatics analysis of multi-omics data, especially from plants; expertise in developing data analysis pipelines in Python using Pandas
The selection will be based on the following criteria:
- 70% adequacy of the curriculum vitae
- 15% motivation letter
- 15% relevant grades and prior experience
The evaluation panel assigns a classification to each of the candidates on a scale of 0 to 100 points, ranking the candidates according to their classification consisting on the sum of the partial classifications assigned in each evaluation criterion, and considering the weighting factor given to each parameter. In this process abstentions are not allowed.
In the event of a tie among candidates with the same highest evaluation score, the Evaluation Panel reserves the right to conduct interviews to have a more objective assessment of specific criteria.
If an interview is conducted, the punctuation proposed by each member of the evaluation panel is obtained by assigning a weighting factor of 80% to the CV, and a weighting factor of 20% to the interview.
Additionally, the evaluation panel retains the discretion to withhold the scholarship if the candidates fail to fulfil the stipulated requirements.
The evaluation panel may also decide not to assign the scholarship, if none of candidates meets the required conditions.
If the requirements mentioned above are not fulfilled, the evaluation panel may choose not to select a candidate.
Candidates with an average score below 70, are not recommended for hiring
The application and supporting documents must be submitted via email to bolsas@inesc-id.pt.
The application email should clearly state the reference of the grant on the subject.
BI|2025/723 - COFFEE FLOWER – Refª 2022.01547.PTDC
Applications without the reference of the grant will not be considered
The candidate should clearly state his / her consent so that the communications and notifications in the context of this call can take place to the electronic address bolsas@inesc-id.pt.
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- INESC ID
- Country
- Portugal
- State/Province
- Lisbon
- City
- Lisbon
- Postal Code
- 1000-029
- Street
- Rua Alves Redol, 9
- Geofield
Contact
- State/Province
- Lisboa
- City
- Lisboa
- Website
- Street
- Rua Alves Redol, 9
- Postal Code
- 1000-029
- bolsas@inesc-id.pt