Postdoctoral Fellow in Computational Clinical Cardiac Electrophysiology

Worcester Polytechnic Institute
Worcester
1 year ago
Applications closed

Related Jobs

View all jobs

Research Scientist (Machine Learning), London

Research Fellow in machine learning and spatial statistics

Research Fellow in Machine Learning and Spatial Statistics, Warwick, UK

Research Fellow in weather forecast postprocessing with Machine Learning - School of Geography,[...]

Postdoc in Environmental Intelligence & Data Science

Postdoc in Bayesian machine learning, AstraZeneca, Cambridge, UK

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.

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.