Postdoctoral Fellow in Computational Clinical Cardiac Electrophysiology

Worcester

Worcester Polytechnic Institute

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JOB TITLE

Postdoctoral Fellow in Computational Clinical Cardiac Electrophysiology

LOCATION

Worcester

DEPARTMENT NAME

Biomedical Engineering Department - NFR JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

JOB DESCRIPTION

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.

FLSA STATUS

United States of America (Exempt)

WPI is an Equal Opportunity Employer that actively seeks to increase the diversity of its workplace. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals with​ diverse backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

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Tags: Computer Science Deep Learning Engineering Machine Learning Mathematics Python Research Statistics

Region: North America
Country: United States

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