Hub Updates is the UW-Madison data science community's resource for news, trainings & workshops, and professional opportunities in data science.

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September 21, 2022


Upcoming Trainings & Workshops

Fall 2022 Mini Workshop Series, Data Science Hub
September - December, 9:00 a.m. to 12:30 p.m. CT, Virtual, The Data Science Hub will be hosting a series of mini workshops starting this fall. This series will include topics such as:
  • Sept 28: Intro to Git/GitHub
  • Oct 26-27: Intro to Machine Learning with Sklearn
  • Nov 16-17: Intro to Docker
  • Nov 30: Data Visualization in Python
  • Dec 14: Intro to Julia
Each workshop can be registered for separately and has their own pre-requisites. To view the workshop itineraries and register, visit the Fall 2022 Mini Workshop Series website.

Building Transformer-Based Natural Language Processing Applications, NVIDIA & Data Science Hub
October 24-25, 8:30 a.m. to 12:30 p.m., Virtual, Transformer-based models have revolutionized natural language processing (NLP) by offering accuracy comparable to human baselines on benchmarks like SQuAD for question-answer, entity recognition, intent recognition, sentiment analysis, and more. In this workshop, you’ll learn how to use Transformer models for text classification and named-entity recognition (NER) tasks. You’ll also learn how to analyze various model features, constraints, and characteristics to determine which model is best suited for a particular use case based on metrics, domain specificity, and available resources. For more information and to register ($10 for UW-Madison affiliates), visit the Eventbrite registration page.

Upcoming Workshops, Social Science Computing Cooperative
The Social Science Computing Cooperative (SSCC) supports researchers at UW-Madison who use statistical analysis in their work. They provide a complete research computing environment focused on statistics and expert help to utilize it, including statistical consultants, workshops and trainings, a dedicated help desk, and more. The SSCC will be hosting a variety of workshops in the next upcoming weeks featuring topics that surround State, Python, R, and Linux. Visit the SSCC events calendar for a full overview of the workshop schedule and to register.

Linux Essentials, Bioinformatics Resource Core
October 5, 9:30 a.m. to 4:30 p.m., In-person, Students will learn the essential techniques to interact with the powerful Linux operating system via the bash shell commands that are necessary to leverage the capabilities of many of the latest, most popular bioinformatics tools used in NGS analysis. A central goal of the workshop is to make users more comfortable with what is likely an unfamiliar computing environment so that they can more confidently understand and employ these methods in the context of their independent research projects. For more information, visit the Linux Essentials workshop page. To register, visit the Bioinformatics Resource Core workshop catalog.

Upcoming Seminars & Events

SILO Seminar Series
This semester there will be hybrid seminars, with both in-person and virtual (Zoom) participation. The number of in-person attendees will be limited to 20 people (we will possibly increase this number later in the semester). In person will be notified the Tuesday around 10 p.m. before each SILO.
  • September 21, 12:30 p.m., Hybrid, End-to-end Algorithm Synthesis with Tom Goldstein
  • September 28, 12:30 p.m., Orchard View Room, with Christ Rycroft

Applied Algebra Seminar
September 22, 1:00 p.m., Van Vleck 901 Hall, Optimal Synthesis of Robotic Mechanisms with Aravind Baskar: Baskhar is currently pursing his Ph.D in Aerospace and Mechanical Engineering at the University of Notre Dame. In this talk, Baskar will discuses his Ph.D thesis that focuses on developing tools for designing closed chain robotic mechanisms through optimization of structured polynomial systems.

Machine Learning and Coffee Social, UW-Madison Machine Learning Community
October 5, 9:00 a.m. to 11:00 a.m., Discovery Building, Hosted by the Machine Learning Community, this monthly summer event is intended to help machine learning practitioners across campus connect with one another, discuss and work on projects together, and most importantly — enjoy some free refreshments (coffee, tea, muffins, etc.). Laptops are encouraged! Alternatively, feel free to stop by simply to socialize and meet some new faces. To receive a calendar invite containing the room location, fill out the ML+Coffee Social registration form.

Student Opportunities

Information Specialist Internship Program
The Information Specialist Internship Program (ISIP) is designed to provide experience, mentoring, and training that will complement and enhance each student’s specific academic and career development goals. ISIP’s structure is based upon a two-year cycle, divided by three to four units/modules per year that focus on the foundations of library and information professions. The internship provides participants with experience in different work environments representative of the academic profession, and essential experiences in the following areas: collection management, information technology, public services, and special libraries & programs. Fore more information and to apply, visit the Information Specialist Intern position description. Submissions will close tonight.

dotData, Data Science Club Meeting
The Data Science Club at UW-Madison provides students at all experience levels with current Data Science, Big Data, and Machine Learning knowledge! Save the date for dotData's next member meeting on September 28th. Sign up for their newsletter for the location and time.

Database Intern, Tiny Earth
Headquartered in the Discovery Building at the University of Wisconsin-Madison, Tiny Earth is an international network of college instructors and students focused on crowdsourcing antibiotic discovery from soil bacteria. We support equitable access to education, data-driven research, global health, and environmental protection through instructor education, student curriculum, and community engagement. The Tiny Earth database is an integral component of the network that makes science research accessible to college students. It consists of data about new antibiotic candidates that have been entered by students around the world who are enrolled in the Tiny Earth research course. For more information and to apply, visit the Database Intern position description. Apply by September 30.

Professional Opportunities


On Campus

Data Scientist, Department of Surgery & UW Critical Care Medicine Data Science Lab
The UW Department of Surgery is seeking a Data Scientist to contribute to cutting-edge research in the field of health informatics with a focus in health outcomes, applied machine learning, and high-throughput phenotyping. The accepted applicant will have the opportunity to join a unique lab of physician-scientists, clinical informatics experts, statisticians, engineers, and computer scientists to innovate and develop models that are closely linked to healthcare practice with opportunities to implement their work into real-time and impact patient outcomes. For more information and to apply, visit the Data Scientist position description.

Data Scientist, Waisman Center
The Data Science Core at the Waisman Center provides bioinformatics and biostatistics services, computational resources, and consultations to investigators within the center as well as to other investigators at the University of Wisconsin-Madison. The selected candidate will work as a Core member in an interdisciplinary environment with PIs and labs from Waisman Center and UW-Madison. The Scientist will contribute to the Core services, including but not limited to next generation sequencing data processing, single cell data analysis, biostatistical analysis, machine learning, bioinformatics tools and data visualization. For more information and to apply, visit the Data Scientist position description. Apply by September 25.

Data and GIS Coordinator, Arboretum
The Data Engineer is a member of the Arboretum's Research Unit and is supervised by the Research Program Manager/Ecologist. The Data Engineer is expected to work closely with the Research Specialist and Citizen Science Coordinator within the Research Unit as well as staff in the Education, Land Care, and Foundational Units to meet the organization's data development and management, geo-spatial data collection and analysis, map making, and affiliated instrumentation and software support needs. Sample responsibilities include archiving research data; developing and maintaining searchable databases to support research, land management, volunteer, and donor data; analyzing and visualizing research project data; creating project-based maps; helping to train staff and students; and keeping our GPS and GIS software and technologies up to date. For more information and to apply, visit the Data and GIS Coordinator position description. Apply by September 30.

Off Campus

COVID Tracking Project Archive Lead, University of of California San Francisco
The COVID Tracking Project Archive Lead position will direct digital asset collection, preparation, and publication to finalize preservation and provide online access to the entirely born-digital organizational records and datasets of The COVID Tracking Project at The Atlantic (CTP).  The accepted applicant will play a key role in ensuring this archive is usable by researchers and helping to advance current practice in digital archives. The Archive Lead will also provide oversight of the preparation and preservation of digital assets such as databases, JSON files, websites, Python scripts, and images, and more. For more information and to apply, visit the Archive Lead position description.

Data Services Librarian, Boston College
Boston College Libraries are seeking a Data Services Librarian to join the Digital Scholarship Group (DSG). This position is primarily responsible for digital scholarship collaborations and services related to data gathering, manipulation, management, curation, documentation, and data skills training. Such activities include consulting on faculty and student data-driven projects; providing data skills training on data manipulation and management methods, best practices, and tools to faculty and staff; and providing data skills instruction and curriculum consultations for undergraduate and graduate courses. Fore more information and to apply, visit the Data Services Librarian position description.
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