Assistant Research Professor - Mathematical Sciences

Worcester Polytechnic Institute
Worcester
1 year ago
Applications closed

Related Jobs

View all jobs

Research Data Scientist Intern - Tesco

Research Data Scientist Intern - Tesco

Research Data Scientist Intern

Research Data Scientist Intern - Tesco

Research Data Scientist Intern

Research Data Scientist Intern - Tesco

JOB TITLE

Assistant Research Professor - Mathematical Sciences

LOCATION

Worcester

DEPARTMENT NAME

Mathematical Science Department

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

The Department of Mathematical Sciences at Worcester Polytechnic Institute (WPI) seeks applicants for an Assistant Research Professor in mathematical science to begin in the Summer of 2025. These positions are focused on machine learning, deep learning, and applications to the physical sciences. The successful applicants are expected to work with Prof. Paffenroth’s research team and develop a robust research program and contribute to the teaching mission of the department. Candidates will be expected to participate with WPI’s growing interdisciplinary programs, with a particular focus on the Data Science and AI program. Applicants should have a Ph.D. in Mathematics or Statistics, or related area. The appointment will be for up to three years with annual renewal based on satisfactory performance.

WPI is a diverse campus of learners passionate about creating an inclusive workplace that promotes and values diversity. We are looking for candidates who can support our commitment to equity, diversity, and inclusion.

JOB DESCRIPTION

This is a research position that will be housed in Mathematical Sciences, and advised by Prof. Paffenroth who has joint appoints in Mathematical Sciences, Computer Science, and Data Science. The department has over 40 faculty and postdocs. Our undergraduate programs in Mathematical Sciences and Actuarial Mathematics have approximately 100 students and our graduate programs have over 100 students. At the graduate level, we have several master’s programs (Applied Statistics, Applied Mathematics, and Industrial Mathematics) and we offer PhDs in Mathematical Sciences and Statistics. The department has a strong reputation for its cutting-edge interdisciplinary research and for its successful programs addressing mathematical and statistical problems in industry, with a Center for Industrial Mathematics and Statistics (CIMS). The intended position will be part of a large research program in Prof. Paffenroth’s group that spans mathematics, deep learning, and physical science.

The successful candidate is expected to contribute to an existing research project focusing on machine learning and deep learning for chemical detection problems in the low data limit. While previous expertise in chemical detection problems is not required, some familiarity with problems in the physical sciences would be helpful. Experience in machine learning and/or deep learning are essential, with a particular focus of the project being generative methods such as GANs and autoencoders. A combined theoretical-applied approach is being used where novel deep learning models are developed and then implemented using high performance computing systems at WPI.

WPI's reputation as a rigorous and innovative university rests on the shoulders of its faculty. A highly selective, private technological university and one of the nation's first, WPI believes that when great minds work together, great advances follow. At WPI the boundaries to multidisciplinary collaboration are low. Faculty members, students, and other partners work together on the real-world projects and purposeful research that are hallmarks of the WPI experience. WPI is consistently ranked among the top 70 research institutions by US News & World Report. Located one hour west of Boston, the university's campus is in Worcester, Massachusetts, a thriving 21st century college city recognized as a growing hub of scientific and technological innovation.

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.