Post Doctoral Associate

We are recruiting a postdoctoral researcher with a focus on artificial intelligence (AI) for health informatics. The successful applicant will have a Ph.D. in biomedical informatics, computer science or a related field. Working experience with electronic health records (EHRs) data, machine learning (deep learning), and natural language processing (NLP) are preferred. This position will work under the guidance of and in collaboration with Dr. Feifan Liu in data mining using EHRs, machine (deep) learning modeling, software package development, scientific paper writing and presenting at national/international conferences. In addition, the incumbent will participate in analysis and reporting projects through data summarization and visualization, and contributions to analysis, modeling and interpretation of results. Research topics include but not limited to:

Data transformation and management
• Multi-modal learning and fusion of EHR data for classification
• Deep representation learning of tabular data and textual data
• Longitudinal modeling for clinical risk prediction
• Time series analysis and representation
• Prototype development and data visualization

Qualifications

• Master's degree in computer science, data science or a related field
• Working knowledge and experience in popular deep learning models (e.g., LSTM, CNN, Resnet, Transformer)
• Solid programming skills in Python, Java or C++, familiar with one deep learning platform (e.g., pytorch, tensorflow)
• Experience in Unix/Linux environment and SQL queries
• Self-motivated, results oriented, and able to meet deadlines
• Excellent formal and interpersonal communication skills

Application Instructions

• Applicants should send an application package including three names of reference, a letter of interest and an updated CV to Feifan Liu PhD Assistant Professor at Feifan.Liu@umassmed.edu

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