1 (One) Research Fellowship (Bi) For Msc Student

Ccmar; Viseu; Presencial; EUR 11 000 - 12 000; Tempo integral

Resumo da oferta

LASIGE Computer Science and Engineering Research Centre invites applications for a 3‑month Research Fellowship (BI) for an MSc student. The project aims to develop and evaluate a prompt‑engineered LLM pipeline for automated extraction of plant‑microbe interactions related to drought tolerance in grapevine.

The fellow will curate a domain‑specific annotated corpus and identify novel interactions for future validation, under supervision of Professor Francisco Couto and Professor Ana Margarida

Qualificações

• Bachelor's degree in Biology with minor in Informatics is required.
• Experience in NLP, ML and text mining is desirable.
• Knowledge of plant-microbe interactions is advantageous.
• Programming in Python, R or SQL; familiarity with LLMs and ontologies.

Responsabilidades

• Develop and evaluate a prompt-engineered LLM pipeline for automated extraction of plant-microbe interactions from literature.
• Integrate results with biological ontologies for standardized annotations.
• Curate a domain-specific annotated corpus for future validation.
• Identify novel microbial interactions for potential follow-up studies.

Conhecimentos

NLP experience

Machine learning

Text mining

Plant-microbe interactions knowledge

Familiar with large language models

Ontologies

Formação académica

Bachelor's degree in Biology with minor in Informatics

Ferramentas

Python

R

SQL

LLMs

Descrição da oferta de emprego

1 (One) Research Fellowship (Bi) For Msc Student Ccmar Piedade, Portuguese Republic, PT

Descrição do cargo

Offer Description 1 (one) Research Fellowship (BI) for MSc Student

Ref.: 1406.5 - 1 BI EM MicroGenAI_LASIGE-SP-2025.08

Scientific Area : Computer Science and Engineering.

Admission requirements : Bachelor's degree in Biology with minor in Informatics.

Additional optional skills and qualifications : Previous experience in natural language processing, machine learning, text mining, and knowledge of biological domains such as plant-microbe interactions. Programming skills in Python, R, SQL or similar. Familiarity with large language models and ontologies.

Contracting requirements : Presentation of the academic qualifications and/or diplomas, if applicable. Enrollment in a Master's degree in Data Science.

Work plan : The primary objective is to develop and evaluate a prompt-engineered LLM pipeline for automated extraction of plant-microbe interactions related to drought stress tolerance in grapevine from scientific literature, integrated with biological ontologies. Secondary objectives include curating a domain-specific annotated corpus and identifying novel or under-explored microbial interactions as candidates for future validation.

Place of work : The work will be developed at the LASIGE Computer Science and Engineering Research Centre, Faculty of Sciences of the University of Lisbon, under the scientific supervision of Professor Francisco Couto (supervisor) and Professor Ana Margarida Fortes (co-supervisor).

Fellowship duration : Initially 3 months (start in December 2025);

Possible renewal for another 3 months.

Monthly allowance : €1,040.98, paid monthly by bank transfer. The holder will have personal accident insurance and may join the voluntary social insurance scheme to secure social security if not covered elsewhere.

Evaluation and selection process : Candidates assessed by CV (100%). Applicants scoring less than 70 points are not eligible.

Publication/notification of results : All candidates will be notified by e-mail with selection meeting minutes.

Deadlines : Call open 14/10/2025 to 27/10/2025.

Application : Send via e-mail to [e-mail], subject "Ref.: 1406.5 - 1 BI EM MicroGenAI_LASIGE-SP-2025.08", attaching Curriculum vitae, certificate of previous degree, and other relevant documents.

Processing of personal data : FCiências. ID - Association for Research and Development of Sciences is the controller under GDPR. Personal data will be kept for the necessary period and protected appropriately. Rights of access, rectification, etc., can be exercised via [e-mail].

Time limits for the appeal procedure : Negative decision: 10 business days to appeal;

Appeals submittedwithin 15 business days after notification.

Note 1: Documents proving academic qualifications and diplomas can be replaced by a declaration on honour during application period. Delivery mandatory for contractualization.

Number of offers available: 1. Company/Institute LASIGE Computer Science and Engineering Research Centre, Country Portugal, City Lisboa.