RSS Feed Source: Academic Keys

The Department of Materials Science and Engineering at the University of Wisconsin-Madison seeks a new faculty member in applications of artificial intelligence and machine learning in polymeric materials through Job Requisition 10004050. This position is part of the RISE-AI component of the Wisconsin Research, Innovation, and Scholarly Excellence (RISE) initiative. The successful candidate will lead an innovative research program in AI/ML in the design, synthesis, characterization, and application of polymer materials.

Areas of interest in polymer research include but are not limited to AI/ML for predicting polymer properties and de novo polymer design, AI-guided design of polymers, AI-based soft-materials design, AI/ML enabled synthesis, and AI-enabled high-throughput characterization. Opportunities include, but are not limited to, polymeric materials relevant to the department’s pillar areas of sustainability, materials for extreme environments, autonomous materials research and additive manufacturing, energy production, conversion, and storage, and information and quantum technologies. UW-Madison

Click this link to continue reading the article on the source website.

RSS Feed Source: Academic Keys

Job ID: 263054

OERI – Critical Infrastructure and Data Transformation (CID) to Advance National Security (Research Faculty, Non Tenure Track )
Old Dominion University

Job Description

The Office of Enterprise Research and Innovation (OERI) at Old Dominion University invites applicants for an annual 10-month position at Non-Tenure Track Assistant/Associate/Full Research Professor rank as part of a multi-position hiring cluster aiming for the Critical Infrastructure and Data Transformation to Advance National Security to begin in Fall 2026. This is an annual 12-month appointment that will begin July 25, 2026. The cluster, with faculty hires in School of Data Science, Batten College of Engineering and Technology and Office of Enterprise Research and Innovation, integrates interdisciplinary research in resilient infrastructure, infrastructure data transformation, and secure smart systems to address national security challenges in coastal regions. It explicitly

Click this link to continue reading the article on the source website.

RSS Feed Source: Academic Keys

Postdoc: Harnessing Real-time Weather Data for Bridge Inspection

Specialized Lab: Kinetic Structures Laboratory (https://ashleythrall.com/)
Department: Department of Civil & Environmental Engineering & Earth Sciences (www.ceees.nd.edu)
Institution: University of Notre Dame
Location: Notre Dame, IN
Application Deadline: Open until filled
Type: Full-time
Position Start Date: Fall 2025 (preferably) or early Spring 2026
Proposed Minimum Salary: $65,000

Job Description
Opening for a Postdoctoral Research Associate to work with Dr. Ashley Thrall in the Department of Civil & Environmental Engineering & Earth Sciences at the University of Notre Dame. The successful candidate will perform cutting-edge research investigating near real-time weather data to improve guidance for bridge inspections following rainfall events. Recent rainfall events in Indiana have washed out bridges, resulting in broken transportation networks and loss of life. The National Oceanic and Atmospheric Administration (NOAA) provides near real-time weather information that integrates data from radar, rain gauges, satellites, numerical predictions, and other observations (i.e., lightning, surface,

Click this link to continue reading the article on the source website.

RSS Feed Source: Academic Keys

Job ID: 263014

Doctoral researcher for RF CMOS IC design
Aalto University

 

Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.

 

 

Contact Information <!– (send resume to if no instructions are given above) –>  

Please see the job description for contact details
pertaining to this university job announcement.

 

Refer this job to a friend or colleague!

New Search | Previous

Click this link to continue reading the article on the source website.