Organisation/Company Agencia Estatal Consejo Superior de Investigaciones Científicas Department Royal Botanic Garden (RJB-CSIC) Research Field Other Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 13 Nov 2026 - 00:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 27 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2024-T1/ECO31482 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Education: A Bachelor's degree in Biotechnology is required to perform these duties

The "Evolutionary Plant Biology: patterns, processes, and mechanisms" research line at the RJB investigates the origin of plant diversity. This research integrates molecular, morphological, and functional data using phylogenetic, biogeographical/phylogeographical, and population-level approaches, alongside niche modeling and evolutionary developmental genetics. The group is currently developing Deep Learning methods to understand evolutionary and ecological patterns and processes. This research facilitates inferences regarding speciation mechanisms by connecting microevolutionary (intraspecific) and macroevolutionary (interspecific) scales. Specifically, the project aims to explore the use of neural networks to automatically extract genetic data and combine information from multiple species sharing the same habitat (climatic zones) into a unified analytical framework.

Specific Tasks The hired technician will be responsible for:

- Mathematical modeling of evolutionary scenarios based on genetic and genomic data using Python and R programming languages.
- Exploring artificial intelligence prediction methods to analyze the evolution of multidimensional biological and climatic traits.




- Developing Deep Learning models utilizing machine learning libraries such as TensorFlow and PyTorch.
- Implementing efficient algorithms suited for high-performance computing environments, such as computing clusters.

The evaluation will consider the training's duration, its relevance to the specific functions and tasks of the research line, and the prestige of both the training program and the organizing institution. Accredited complementary training will be scored according to the following scale:

Complementary Qualifications (maximum 10 points): This includes PhDs, Master's degrees, other academic qualifications, specialization courses, and seminar participation. The training must exceed 15 hours in duration and feature content directly related to the purpose of the offered contract. Points are awarded as follows:

- 15 to 30 hours: 2.5 points.
- 31 to 60 hours: 5 points.
- 61 to 100 hours: 7.5 points.
- More than 100 hours: 10 points.

Scholarships and Fellowships (maximum 10 points): Only grants or scholarships directly relevant to the contract's objectives will be considered. The maximum score is awarded if the candidate has held a scholarship, or a combination of scholarships, for a total duration of one year or more. For shorter durations, the score will be calculated proportionally based on full months completed.

Candidate Suitability for Specific Contract Tasks (maximum 30 points) The Selection Committee will assess all candidates who have been deemed eligible. The determination of the applicant's suitability will be based on their prior publications alongside previous scientific and technical work, with particular emphasis on experience related to the core functions of the offered contract. The committee will also consider additional relevant aspects whenever such skills are essential for the execution of the required tasks

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📌 Technical support - connecting microevolutionary (intraspecific) and macroevolutionary (interspecific) scales with deep learning
🏢 Agencia Estatal Consejo Superior De Investigaciones Cientificas
📍 España