Skip to main content
EURAXESS

Research scholarship in Artificial Intelligence for Health in the Center of Innovation for Artificial Intelligence in Health (CIIA-Health)

20 Mar 2024

Job Information

Organisation/Company
UFMG
Department
School of Medicine
Research Field
Medical sciences » Medicine
Researcher Profile
First Stage Researcher (R1)
Country
Brazil
Application Deadline
Type of Contract
Temporary
Job Status
Full-time
Hours Per Week
40
Offer Starting Date
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

We select candidates to work on research in the area of ​​ARTIFICIAL INTELLIGENCE and DATA SCIENCE in a project at the CENTER FOR INNOVATION IN ARTIFICIAL INTELLIGENCE FOR HEALTH (CIIA-SAÚDE), specifically in the sub-project “Prediction of Clinical Outcomes and Economic through Multimodal Semantic Representations of Patients Resilient to Temporal Drifts”, which aims to develop new AI tools, capable of assisting healthcare professionals in the diagnosis and prognosis of clinical outcomes as well as the development of models for predicting costs in the treatment of patients based on the resource consumption profile in their care routes (trajectories). As specific objectives, this project aims to answer the research questions: (i) Is it possible to develop new patient representation strategies that integrate multimodal data from various sources for the effective prediction of clinical and economic outcomes? (ii) Do these representations, together with new strategies for mitigating temporal drifts, make it possible to reduce the effects of these drifts on economic and health data?

 

Principal investigator: Professor Marcos André Gonçalves (UFMG)

Researcher supervisor: Milena Soriano Marcolino (UFMG)

 

Activities to be developed: descriptive and exploratory analysis of health data collections; development and application of Artificial Intelligence techniques and statistical methodology in scenarios for predicting health outcomes and costs; interpretation of results; writing scientific literature; and support for project management (distribution and monitoring of the execution of tasks by the team).

 

Mandatory requirements: 1) undergraduate degree in the health field; 2) doctorate in Health Sciences or correlated field; 2) experience in participating in projects in the health area; 3) experience with data analysis; 4) ability to write scientific texts in English; 5) experience with scientific writing, proven by quality international publications; 6) leadership skills; 7) availability of 40 hours of work per week, exclusively; and 8) availability for weekly meetings.

 

Workload: 40h/week over 18 months, scheduled to start on 01/06/2024.

Monthly scholarship: R$ 9,047.40 (Brazilian reais)

 

Candidates must fill out the form on Google Forms available at the link https://forms.gle/H96Wx1pNKxPmyAXTA, attaching a Lattes CV and motivation letter as PDF files, by 04/12/2024. The selection process will take place in three stages:

  1. Analysis of the CV and motivation letter: eliminatory and qualifying stage
  2. Interview in person or on an online platform (Google Meet or similar): eliminatory and qualifying stage
  3. Scientific text writing: eliminatory and classificatory stage

 

Requirements

Research Field
Medical sciences » Medicine
Education Level
PhD or equivalent
Skills/Qualifications

Mandatory requirements

  1. Undergraduate degree in the health field;
  2. Doctorate in Health Sciences or correlated field;
  3. Experience in participating in projects in the health area;
  4. Experience with data analysis;
  5. Ability to write scientific texts in English;
  6. Experience with scientific writing, proven by quality international publications;
  7. Leadership skills;
  8. Availability of 40 hours of work per week, exclusively;
  9. Availability for weekly meetings.

 

  1.  
Specific Requirements

The selection process will take place in three stages:

  1. Analysis of the CV and motivation letter: eliminatory and qualifying stage

  2. Interview in person or on an online platform (Google Meet or similar): eliminatory and qualifying stage

  3. Scientific text writing: eliminatory and classificatory stage

Additional Information

Work Location(s)

Number of offers available
1
Company/Institute
Universidade Federal de Minas Gerais
Country
Brazil
State/Province
MG
City
Belo Horizonte
Postal Code
31270-901
Street
Av. Antonio Carlos 6627
Geofield

Where to apply

Website

Contact

State/Province
Minas Gerais
City
Belo Horizonte
Website
Street
Rua Randolfo Trindade 22
Postal Code
31.320-290
E-Mail
magoncalv@gmail.com
Phone
31991206865