Postdoctoral Research Associate In Commutative Algebra - School Of Mathematics And Data Science

West Virginia University Research Corporation Human Resources Morgantown , WV 26502

Posted 2 months ago

The School of Mathematical and Data Science at West Virginia University invites applications for a full-time non-tenure-track postdoctoral research associate position starting in August 2022. The appointment will be made for two years, renewable for a third-year contingent upon continued need, funding, and favorable performance. The position offers access to resources for career development, including funding for travel to professional meetings.

The School of Mathematics and Data Science includes 25 tenured and tenure-track faculty, about 65 graduate students, and several postdoctoral scholars, and offers undergraduate, masters and doctoral degrees in Mathematics. West Virginia University is a R1 research land grant university located within 90 minutes of Pittsburgh and 3.5 hours from the Washington/Baltimore area.

Morgantown has been recognized as one of the most livable small cities in the U.S. There are extensive recreational opportunities, excellent public schools, and a supportive University environment in which to develop a visible and productive career. The WVU Dual Career Program is available to assist candidates with suitable employment opportunities for spouses or partners.

The successful candidates must have a Ph.D. or equivalent doctoral degree in the mathematical sciences, prior to the start date of the position and/or earned within the past 6 years, demonstrate documented potential for excellent research and teaching in mathematics. We welcome applicants with expertise that align with our current strengths in Commutative Algebra.

Postdoctoral research associates are expected to be engaged in a significant way with the Commutative Algebra research ongoing at WVU and are expected to collaborate with the current faculty, as well as with the current Ph.D. students. The teaching load is two courses per semester including calculus, upper-level mathematics courses, and graduate courses in mathematics.

To apply, upload a curriculum vitae, a research statement, and a statement of teaching philosophy, and three letters of recommendation (two for research and one for teaching). The screening process will begin on December 15, 2021, and continue until the position is filled. For additional information, contact Olgur Celikbas, search committee chair, at olgur.celikbas@math.wvu.edu.



icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Staff Machine Learning EngineerConsumer Data Science

Realtor.Com

Posted 3 months ago

VIEW JOBS 8/25/2021 12:00:00 AM 2021-11-23T00:00 Come to work for Realtor.com! A leader in online real estate and backed by industry experience and the News-Corp Brand, Realtor.com's vision is to be the leading destination to discover and create your perfect home, and today millions of unique users visit our company's website and mobile apps monthly. What you can do at Realtor.com has the potential to touch people in a real and meaningful way. At realtor.com, we process terabytes of data everyday and transform that data into information that powers decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. You'll engage with some of the best and the brightest co-workers and leaders, learn and contribute, and have a great time. If you enjoy working in a fast-paced, dynamic, cutting-edge work environment and desire to make a meaningful contribution to the business, then make the move! We seek a highly seasoned ML practitioner to join our Data Science - Machine Learning team and help take it to the next level. We use advanced ML to build recommender systems and matching models, search relevance & ranking systems, user personalizations and consumer segmentation models. We also leverage the latest advancements in deep learning on images and NLP to build rich, next-gen experiences for our users. As a key member of the team, you will be responsible for the development and deployment of innovative concepts, research, predictive modeling, and machine learning algorithms. You will also serve as a mentor for the junior members on the team and provide guidance on their projects. Responsibilities: Research, build and deploy machine learning and deep learning algorithms. Design and build solutions leveraging the wealth of consumer clickstream data, real estate property data, images and text data of realtor.com. Create scalable machine learning models - classification & regression (GBMs, RF, LR, etc.), forecasting, clustering, neural networks (CNNs, LSTMs, Transformers, etc.) that integrate into batch, streaming and real-time systems. Build end-points to serve ML models in production. ML Ops (monitor inference performance, scalability, availability, etc). Effectively partner with product and engineering teams to ideate and build new data-driven and machine learning based features for enriching the experience of home shoppers. Drive A/B & multivariate tests and design of experiments to facilitate testing of new product and design features, with focus on improving engagement, retention, and conversion. Help improve the scope of our data sets by identifying new data collection and procurement opportunities on an ongoing basis. Generate descriptive visualizations and presentations to communicate insights and results. Mentor the team on data exploration, machine learning, deep learning and developing data-oriented products. Work with a sense of ownership and urgency, advocate for experimentation-based, agile culture. Requirements: MS/PhD in machine learning, computer science, applied mathematics or related fields. 7+ years of relevant work experience in the industry building and productionizing ML models. Proficient in Python, Scikit-learn, XGBoost, PyTorch/TensorFlow, and other languages and frameworks appropriate for ML modeling and deployment. Strong experience with Consumer Data Experience with Recommender Systems or Consumer Classification modeling preferred Experience with relational databases (SQL) and large scale distributed systems. Comfortable with experiment design and A/B and multivariate tests. Exposure to Docker and Containerization. Knowledgeable of core CS concepts such as: structured and unstructured data, data management and querying, common data structures and algorithms. Strong creative thinking and problem solving skills. Excellent oral and written communication and presentation skills. About realtor.com At realtor.com®, we believe that everyone deserves a home of their own. We're a community of nearly 2,000 employees who work hard to ensure that from the moment someone starts dreaming about a new home, to the moment they walk in the door and beyond, we're there to lend a helping hand. Every month, over 85 million people trust us with their journey home by visiting our site and mobile apps, and we'd love to have you join our team to help. We've got great offices in the U.S. and Canada with lots of sweet jobs to choose from, so we're hoping you'll join us on our journey to make buying, selling, renting, and living in homes easier and more rewarding for everyone. Let's make a difference, together. For Real. Realtor.Com Morgantown WV

Postdoctoral Research Associate In Commutative Algebra - School Of Mathematics And Data Science

West Virginia University Research Corporation Human Resources