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DTSTAMP:20240515T123104
DTSTART;TZID=America/Detroit:20240430T130000
DTEND;TZID=America/Detroit:20240430T140000
SUMMARY:Careers / Jobs:Resume Lab
DESCRIPTION:*RSVP required to attend. Click \"Join Event\" here: https://app.joinhandshake.com/events/1520745/share_preview\n\nJust getting started building a resume? Have a draft but not sure how to make it better? Want to learn about resources available to revise your resume? Wherever you’re at Resume Lab is a great next step for you.\n\nGet real-time\, personalizedsupport in a small group setting by checking out the Resume Lab. \n\nWe will discuss and educate you on…\n- Design and format\n- Writing a great bullet point\n- Targeting your resume for specific internships/jobs\n\nIf you're a Graduate Student or Recent Grad\, please make a 1:1 appointment instead of attending the Lab because this event is designed for undergraduates.\n\nNote: This event's information is shown in Handshake as well as onthe Happening @ Michigan calendar so that it will be seen by a larger number of U-M Students. If you'd like to indicate that you'll be attending this event then please go to: https://umich.joinhandshake.com/edu/events/1452770
UID:120604-21845027@events.umich.edu
URL:https://events.umich.edu/event/120604
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
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DTSTAMP:20240515T123108
DTSTART;TZID=America/Detroit:20240430T140000
DTEND;TZID=America/Detroit:20240430T160000
SUMMARY:Careers / Jobs:2024 Firm Risk Management Discovery Day - Virtual
DESCRIPTION:To be considered for this opportunity\, you must apply here: https://morganstanley.tal.net/vx/lang-en-GB/mobile-0/brand-2/spa-1/candidate/so/pm/1/pl/2/opp/17807-2024-Firm-Risk-Management-Discovery-Day-Virtual/en-GB\n\nAt Morgan Stanley\, we are defined by our people\, our founders\, our company veterans and our newest recruits. We draw on the strength of their diverse talents and perspectives\, generating growth for our clients in ways that are forward-thinking and sustainable. We collaborate across departments and our global network of offices to deliver exceptional ideas and solutions to the world’s most complex challenges.\n\nThe 2024 Discovery Day provides participants with the opportunity to learn about the different areas of Firm Risk Management\, participate in case studies\, and learn more about next steps for applying to our 2025 Summer Analyst Program.\n\nSelected candidates will be invited to the event which will take placevirtually on Tuesday\, April 30th from 2:00PM - 4:00PM EST. Participationis limited and selected candidates will be notified directly.\n\nThis program is open to applicants of any race\, gender or other protected characteristic. All applicants must be graduating with a Bachelor’s degree between December 2025 and May 2026.\n\n\n\nProgram Focus\n\nMorgan Stanley prides itself on fostering an environment that promotes diverse talents andperspectives. This program has a strong emphasis on attracting populations who have experienced barriers to entry in the finance industry\, including: Women\, Hispanic\, Black\, veteran\, disabled\, LGBTQ+\, first-generation college students and those from economically disadvantaged backgrounds.\n\n\n\nProgram Itinerary\n\nDISCOVER: Firm Risk Management\n\nDuring this session\, you will have the opportunity to learn more about the Firm Risk Management Division\, including the areas represented in the Summer Analyst Program. After this session\, you will be surveyed on what areas of Risk you are most interested in for future events.\n\nDISCOVER: Interview Skills\n\nYou will have the chance to learn what Morgan Stanley looks for incandidates and learn best-practices for interviewing.\n\nWE DISCOVER: YOU\n\nDuring this session\, you will work alongside other participants and showcase your critical thinking skills and teamwork in an interactive case study. 
UID:121244-21846078@events.umich.edu
URL:https://events.umich.edu/event/121244
CLASS:PUBLIC
STATUS:CONFIRMED
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DTSTAMP:20240328T132059
DTSTART;TZID=America/Detroit:20240430T140000
DTEND;TZID=America/Detroit:20240430T150000
SUMMARY:Presentation:CCAT Research Review — Traffic Signal Optimization with Low Penetration Rate Vehicle Trajectory Data
DESCRIPTION:Traffic light optimization is known to be a cost-effective method for reducing congestion and energy consumption in urban areas without changing physical road infrastructure. However\, due to the high installation and maintenance costs of vehicle detectors\, most intersections are controlled by fixed-time traffic signals that are not regularly optimized. To alleviate traffic congestion at intersections\, Dr. Liu’s team presents a large-scale traffic signal re-timing system that uses a small percentage of vehicle trajectories as the only input without reliance on any detectors. A probabilistic time-space diagram has been developed\, which establishes the connection between a stochastic point-queue model and vehicle trajectories under the proposed Newellian coordinates. This model enables the team to reconstruct the recurrent spatial-temporal traffic state by aggregating sufficient historical data. Optimization algorithms are then developed to update traffic signal parameters for intersections with optimality gaps. A real-world citywide test of the system was conducted in Birmingham\, MI\, and demonstrated that it decreased the delay and number of stops at signalized intersections by up to 20% and 30%\, respectively. This system provides a scalable\, sustainable\, and efficient solution to traffic light optimization and can potentially be applied to every fixed-time signalized intersection in the world.\n---\nAbout the speaker: Dr. Henry Liu is the Bruce D. Greenshields Collegiate Professor of Engineering and the Director of Mcity at the University of Michigan\, Ann Arbor. He is a Professor of Civil and Environmental Engineering\, a Professor of Mechanical Engineering\, and a Research Professor at the University of Michigan Transportation Research Institute. He also directs the Center for Connected and Automated Transportation\, a USDOT-funded regional university transportation center. Dr. Liu conducts interdisciplinary research at the interface of transportation engineering\, automotive engineering\, and artificial intelligence. He is recognized for his foundational work in cyber-physical transportation systems\, particularly on the development of smart traffic signal systems with connected vehicles\, and testing/evaluation of autonomous vehicles. He has published more than 140 refereed journal articles. His work on safety validation of autonomous vehicles has been published in Nature and featured as the cover story. He has also appeared on a number of media outlets including Wall Street Journal\, Forbes\, Science Daily\, Tech Xplore\, CNBC\, WXYZ\, etc. for transportation innovations. Prof. Liu is the managing editor of the Journal of Intelligent Transportation Systems and a board member of the ITS America and IEEE ITS Society.
UID:120819-21845353@events.umich.edu
URL:https://events.umich.edu/event/120819
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Civil and Environmental Engineering,conference,Discussion,Education,Engineering,Faculty,Free,Graduate and Professional Students,Graduate Students,Lecture,Michigan Engineering,Networking,Professional Development,Research,seminar,Talk,Virtual,Webcast
LOCATION:Transportation Research Institute - Room 139
CONTACT:
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