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Health Data Science● OpenResearch staff★ EU-FUNDED⏰ 13 days left×2 positionsPreview

2 Entry-Level PhD Researchers in Health Data Science - PROFIT Project

Join the Faculty of Medicine at the University of Porto as an entry-level PhD researcher to optimize healthcare workflows and data-driven protocols.

Best for:Best for recent PhD graduates in health data science, biomedical engineering, or related fields with experience in health research and scientific writing.

Faculdade de Medicina da Universidade do Porto · Porto, Portugal · R2 · Recognised researcher
More professors at Faculdade de Medicina da Universidade do Porto
Health Data ScienceDecision Support SystemsDigital HealthHealthcare EfficiencyClinical Protocols
This is a research staff position — not a PhD studentship.
Deadline
Nov 2, 2026
13 days
Funding
Salaried
€2.4k/mo
Start date
flexible
Fixed-term
Location
Porto
Portugal

Overview

The Faculty of Medicine at the University of Porto (FMUP) is seeking two entry-level PhD researchers within the scope of the PROFIT project, co-funded by the European Regional Development Fund. The successful candidates will conduct research and development activities in Health Data Science at the RISE-Health research unit. Key responsibilities include implementing workflow optimization and evaluation strategies, participating in clinical decision support systems, and developing methodologies for digital health solutions. Applicants are expected to engage in research, knowledge transfer, and science communication while collaborating on multidisciplinary health research projects.

Health Data SciencePROFIT ProjectClinical ResearchDecision Support SystemsDigital HealthWorkflow Optimization

What you'll do

  • Implement optimization and evaluation strategies for intelligent workflows and data-driven clinical and operational protocols
  • Participate in the design and validation of healthcare decision support systems
  • Develop and implement methodologies for evaluating digital solutions with end users
  • Perform scientific literature reviews on methodologies required for project use cases
  • Support the technical, scientific, and dissemination planning and execution of the project

Requirements

Degree required: PhD in Health Data Science, Clinical Research, Health Services, Medicine, Health Sciences, Biochemistry, Microbiology, Biomedical Engineering, Economics, Psychology or related areas

Language: Portuguese and English proficiency for professional research and communication

Instruction: Portuguese and English

Publications: Demonstrated track record of writing scientific articles in health

Required skills
  • PhD degree completed no more than 5 years ago from the application deadline
  • Demonstrated collaboration in health research projects
  • Proven experience in writing scientific articles in the health domain
Nice to have
Proven experience or knowledge in the design, assessment, or validation of decision support systemsExperience with digital health systems or consensus processes in healthParticipation in national or international funded research projects in healthExperience writing scientific articles specifically in health data science
Eligibility
  • Open to national, foreign, and stateless candidates
  • Must hold a recognized PhD degree obtained within the last 5 years

Funding & terms

Type
Salaried
Amount
€2.4k/mo
Duration
Fixed-term contract of uncertain duration, not exceeding project end date or 6 years
Programme
COMPETE2030-FEDER-00376900 (PROFIT)
EU-FUNDEDEuropean Regional Development Fund (ERDF)

How to apply

Candidates must submit their applications through the official institutional portal following the guidelines published in the public notice. Ensure all required academic and professional documentation is attached before the deadline.

Documents required
  • CV
  • PhD certificate
  • Proof of qualifications
  • Motivation letter
↗Apply on site

Contact

JA
Prof.
José Alberto da Silva Freitas
HR - Human Resources
Lab
RISE-Health
Faculdade de Medicina da Universidade do Porto
COMPETE2030-FEDER-00376900 (PROFIT)Portugal
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