PRR Project
Assistant Researcher in Tree Functional Genomics; GREEN-IT Chair
Project sheet
Name
Assistant Researcher in Tree Functional Genomics; GREEN-IT ChairTotal project amount
246,79 thousand €Amount paid
0 €Non-refundable funding
246,79 thousand €Loan funding
0 €Start date
01.02.2025Expected end date
31.03.2026Dimension
ResilienceComponent
Qualifications and SkillsInvestment
Science Plus TrainingOperation code
02/C06-i06/2024.P2023.11076.TENURE.086Summary
Job description: 1) We seek a collaborative and innovative scientist and educator who uses genomics tools to explore genetic factors regulating the adaptation of woody species to environmental challenges. 2) The candidate will be leading innovative research projects in functional genomics applied to cork oak, integrating molecular biology and bioinformatics approaches to find key genetic factors acting in the interplay between secondary growth and environmental factors. 3) The candidate is also expected to develop novel biotechnology approaches for the functional characterization of genes and molecular pathways in cork oak and other woody plants of national interest. Research topics may extend to understanding and modifying gene regulatory networks, improving plant resilience, or engineering plants for novel traits with added values. Other relevant responsibilities include: a) Mentoring and supervision of both graduate and undergraduate students and postdoctoral researchers; b) Coordination and teaching at higher-education programs at the host Institution (MSc and PhD levels) or other training courses; c) Plan, lead and manage research projects in related topics, securing funding; d) Contribute to the scientific community with peer-reviewed publications, scientific conferences organization and participation. Scientific profile: 1) PhD in Molecular Biology or related areas; 2) A demonstrated expertise in impactful research at the post-doctoral level leveraging genomics technologies in model and non-model woody plant species, proven through relevant publications; 3) Relevant scientific publications in international peer-reviewed journals; 4) Demonstrated ability for funding acquisition as well as coordination and participation in national (as PI and/or co-PI) and international projects; 5) Demonstrated experience in teaching at high-degree education (BSc, MSc and PhD levels), as professor and supervisor; 6) Advanced experience in bioinformatics, including computer programming for data analysis, web development and/or data management (e.g. Python, R, Bash); 7) Experience in data management practices for genomic and phenotypic data, following FAIR principles, and acquaintance with the activities of ELIXIR Europe infrastructure; 8) Proactivity in the coordination of science dissemination, outreach and training events; 9) Fluency in English and Portuguese (spoken and written). Rationale for hiring: The candidate will be integrated into the Plant Division of ITQB NOVA, Green-it Bioresources for Sustainability R&D Unit, and LS4Future Associated Laboratory complementing existing strengths and contributing to the respective strategic goals. The hiring of an Assistant Researcher with a specialized focus on woody plant biology is critical to advancing fundamental knowledge of the genetic mechanisms regulating relevant plant traits in the context of climate change. This knowledge is key to harnessing the potential of genetic diversity to shape new resilient and productive forests/orchards, currently threatened by severe drought events and biotic factors. The particular focus on cork oak will build upon the existing expertise and expand the existing research capacity, by exploring novel computational and biotechnology approaches. This expertise is expected to extend to other tree species of national interest. A candidate´s profile, combining strong molecular biology and bioinformatics backgrounds, will be determinant to develop advanced data-mining and biotech tools to speed up fundamental research in challenging plant species. Additionally, the mixed background and strong training skills that we are seeking in a candidate to recruit will be strategic to consolidate the in-house expertise in computational methods applied to plant sciences and foster computational literacy among younger plant scientists enrolled in post-graduate courses at the host research unit, Institute and Associated Laboratory.
Beneficiaries
The two types are::
- Direct Beneficiaries are those whose funding and projects to implement are part of the Recovery and Resilience Plan that has been negotiated and approved by the European Union;
- Final Beneficiaries are those whose funding and projects to implement are approved following a selection process through Calls for Applications.
Call for applications
As part of the Call for Applications, submissions are requested to select the projects and final beneficiaries to whom funding will be awarded. Specific selection criteria are defined for each call, which must be reflected in the applications submitted and assessed.
The project is appraised on the basis of its compliance with the selection criteria laid down in the calls for applications, and a final score may be awarded, where applicable.
Final evaluation score
The components for calculating the assessment score can be found in the selection criteria document mentioned below.
Selection criteria
Beneficiaries
Intermediate beneficiaries
Procurement
Beneficiaries representing public entities implement their project by signing one or more contracts with suppliers for goods or services through public procurement procedures.
To ensure and provide the utmost transparency in all these contracts, a list of the contracts that were signed under this project is available here, along with the information available on the Base.Gov platform. Please note that, according to the legislation in force at the time the contract was signed, some exceptions do not require the publication of the contracts signed on this platform, and, therefore, no information is available in such cases.
Geographic distribution
246,79 thousand €
Total amount of the project
Where was the money spent
By county
1 county financed .
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Lisboa 246,79 thousand € ,