PhD Research Intern - Digital Health

Key Skills

Java Programming, Python Programming, C++, AWS, Data Analytics, Time series, Signal processing

Job Description

Title: Ph.D. Research Intern – Digital Health

Company: Samsung Research America (SRA)

Lab: Digital Health Lab

Location: Mountain View, CA

Lab Summary

Samsung Research America Digital Health Lab (https://www.sra.samsung.com/digital-health/) collaborates with top hospitals, healthcare-industry partners, and universities to transform how healthcare is delivered and good health sustained. We use design thinking to address some of healthcare’s toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access.

Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. We use advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms that detect and trigger alerts for specific health conditions. We employ data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives.

Our portfolio of digital health solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as wells chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.

Position Summary

We are looking for a Ph.D. candidate or Ph.D. graduate with solid ML/AI technology background and digital health-related research project experiences in health data analytics, physiological signal process, and multi-modality mobile sensing development. By leveraging smartphones, wearables, and hearables in health/wellness domain, your work will significantly benefit real-world consumers, patients, the elderly, physicians, and caregivers.

Samsung’s unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.

Requirements

• Ph.D. candidate or graduate in computer science or related areas
• Solid coding skills with prototyping experience in data science and machine learning
• Experience in signal processing, time-series data analytics, digital health domain
• Programming in multiple programming languages such as Java, C++, and Python
• Strong knowledge in data analysis/processing software such as Matlab
• Experience with cloud infra services like AWS
• Good communication/presentation skills and teamwork spirit

Responsibilities

• You will work with an agile team to innovate and develop disruptive digital health services and solutions

A little Extra!

• Publications in top-tier academic conferences and journals
• Experience in Android mobile app prototype development
• Strong mathematics background, especially statistics
• Turn the analyzed data into actionable insight and/or understandable visualization
• Previous experience in healthcare projects

Why Samsung?

Come and get real-world experience developing innovative solutions at a global leader in the mobile revolution! Samsung internships enhance your academic goals by providing the opportunity to gain hands-on experience and apply learned theory to real commercial projects.

Samsung is committed to encouraging a diverse workplace and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.