Student Position: Research Assistant 4 - Applied Machine Learning
Responsibilities:
- Researching machine learning models that can be applied to real-world mental-health problems (e.g., disease forecasting, relapse prediction, supportive text generation)
- Analyzing and presenting model architectures to the supervisor, providing clear justification for model selection based on task requirements
- Writing Python scripts to train and test machine learning models
- Comparing the performance of different models by running extensive experiments in Python
- Creating high-quality visualizations of model architectures using Python and other appropriate tools
Qualifications:
- Familiar with machine learning
- Python coding skills including building and evaluating machine learning models in Python
- Familiar with academic research in areas like computer science or applied machine learning
Required Knowledge, Skills, and Abilities:
- High attention to details to ensure collecting and preparing high quality data
- Familiar with CSV/Excel files
- Good communication skills
Apply
Interested candidates should send a CV to Zaid Jamal Saeed Almahmoud.
Pay rate: QR60 per hour
Hours per week: 20
Department: Academic Affairs
Back to top