Postdoctoral Fellow in Computational Clinical Cardiac Electrophysiology

Worcester Polytechnic Institute
Worcester
1 year ago
Applications closed

Related Jobs

View all jobs

Postdoctoral Fellow- Computational Biology and Machine Learning

Postdoctoral Fellow- Computational Biology and Machine Learning

Computer Vision and Artificial Intelligence Engineer

Diabetes Data Scientist (GRA/PDRA)

Research Assistant/Associate in Exoplanetary Remote Sensing and Data Science (up to 2 posts) (F[...]

Research Associate in Computational Biology and Machine Learning

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.