Postdoctoral Fellow in Computational Clinical Cardiac Electrophysiology

The Postdoctoral Fellow will collaborate with the principal investigator on research studies, analyze experimental and clinical data, and maintain detailed records. Key responsibilities include sharing findings, assisting with technical reports, grant proposals, and scientific presentations, and contributing to peer-reviewed publications. The role also involves mentoring students and working with a diverse research team, focusing on computational clinical cardiac electrophysiology.

Must Have

• Collaborate closely with the principal investigator to design and implement research studies.
• Examine experimental and clinical data, maintaining meticulous laboratory records.
• Consistently share findings with the principal investigator and fellow researchers.
• Aid in crafting technical reports, drafting grant proposals, and preparing scientific presentations.
• Play a pivotal role in peer-reviewed publications, as both a lead and co-author.
• Provide mentorship to both undergraduate and graduate students.
• Collaborate with a diverse team of research specialists.
• Solid background in numeric optimization, statistical inference, machine learning, and deep learning techniques.
• Proficiency in programming languages like Python, C++, C#.

Good to Have

• Ph.D. in electrical engineering, computer science & engineering, applied statistics/mathematics, or a closely related field.
• Familiarity with cardiac electrophysiology modeling.

Perks & Benefits

• Health insurance
• Retirement
• Tuition assistance
• Flexible spending accounts
• Work-life benefits

Core Duties:

• Collaborate closely with the principal investigator to design and implement research studies.
• Examine experimental and clinical data, maintaining meticulous laboratory records.
• Consistently share findings with the principal investigator and fellow researchers.
• Aid in crafting technical reports, drafting grant proposals, and preparing scientific presentations.
• Play a pivotal role in peer-reviewed publications, as both a lead and co-author.
• Provide mentorship to both undergraduate and graduate students.
• Collaborate with a diverse team of research specialists.

Preferred Qualifications:

• A Ph.D. in electrical engineering, computer science & engineering, applied statistics/mathematics, or a closely related field; familiarity with cardiac electrophysiology modeling is advantages.
• A solid background and interest in numeric optimization, statistical inference, and machine learning and deep learning techniques.
• Proficiency in programming language (e.g., Python, C++, C#).
• Excellent interpersonal, communication and collaboration skills.

Application Instructions:

Interested candidates are encouraged to submit a cover letter (1 page), curriculum vitae (no page limit), and a 2-page statement detailing research interests and experience.

Contact: For further details, please reach out to Dr. Shijie Zhou at szhou12@wpi.edu.

Application Deadline: Screening of applications will continue until the position is filled.