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:
- Analysis of the CV and motivation letter: eliminatory and qualifying stage
- Interview in person or on an online platform (Google Meet or similar): eliminatory and qualifying stage
- Scientific text writing: eliminatory and classificatory stage
Requirements
- Research Field
- Medical sciences » Medicine
- Education Level
- PhD or equivalent
Mandatory requirements
- Undergraduate degree in the health field;
- Doctorate in Health Sciences or correlated field;
- Experience in participating in projects in the health area;
- Experience with data analysis;
- Ability to write scientific texts in English;
- Experience with scientific writing, proven by quality international publications;
- Leadership skills;
- Availability of 40 hours of work per week, exclusively;
- Availability for weekly meetings.
The selection process will take place in three stages:
Analysis of the CV and motivation letter: eliminatory and qualifying stage
Interview in person or on an online platform (Google Meet or similar): eliminatory and qualifying stage
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
- magoncalv@gmail.com
- Phone
- 31991206865