February 2023 - Sanghani-students

Sanghani Center for AI and Analytics Seminar Series ft. Prof. James Bailey
by Juanita Victoria 16 Feb '23

16 Feb '23

Zoom: https://virginiatech.zoom.us/j/86492209782? [cid:image001.png@01D93A12.0997DCB0]

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Fwd: 2023 Spring Connection Job Fair
by Shalaby, Wanawsha 09 Feb '23

09 Feb '23

FYI. From: handshake(a)mail.joinhandshake.com <handshake(a)mail.joinhandshake.com> Sent: Thursday, February 9, 2023 8:31 AM To: Spitze, Kerry <kspitze(a)vt.edu> Subject: 2023 Spring Connection Job Fair [Connection Job Fair logo] Good Morning, Hokies! During the next two weeks, Career and Professional Development is providing students with two opportunities to connect with employers at the Connection Job Fair. This fair is open to ALL STUDENTS, in ALL MAJORS, and employers are looking to fill full-time jobs, internships, and co-ops! The fair will be offered two ways: Connection Job Fair (in-person)<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Femail.mai…> Wednesday, February 15, 2023 10am - 4pm Commonwealth Ballroom, Squires Student Center Connection Job Fair (virtual)<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Femail.mai…> Tuesday, February 21, 2023 10am - 4pm Brazen Virtual Platform<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Femail.mai…> (you must register to attend) There are more 100 companies attending the in-person event, and more than 70 companies registered for our virtual event, representing a wide variety of industries. An important note: we strongly encourage students to review the list of employers for both fair, as most of them are only attending one. You should plan to attend both fairs! These events are open to all students in all majors. Be sure to research companies you are interested in speaking with, polish your resume, and present your best self at the fairs. A helpful research tip: don't just search for your major when looking at employers. Many of them marked "all majors" and those companies will be filtered out of a search for specific majors, so be sure to look at all of the employers attending! Not sure which employer booths to visit? Search by industry to get started. If you need a few tips on attending a virtual career fair, browse the prep page of our website<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Femail.mai…>. If you wish to have your resume reviewed or talk with someone about your job fair strategy, we offer 15-minute mini-appointments. You can schedule your appointment right here in Handshake. Good Luck and Go Hokies! Career and Professional Development Virginia Tech Feb. 15 In-Person Fair Info and Registration <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Femail.mai…> Feb. 21 Virtual Fair Info and Registration <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Femail.mai…> Brazen Student Resources <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Femail.mai…> This email is being sent to Kerry Spitze at Virginia Tech. Unsubscribe<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Femail.mai…> • Update preferences<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Femail.mai…> P.O. Box 40770, San Francisco, CA 94140

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Fw: Postdoc and data engineer positions at Georgia Tech
by Shalaby, Wanawsha 07 Feb '23

07 Feb '23

FYI. Wanawsha Shalaby Manager of Operations UrbComp Program Coordinator Sanghani Center for AI and Data Analytics - Virginia Tech 900 N. Glebe Road, Arlington, VA 22203 Phone: (571) 858-3361 E-Mail: wanah92(a)vt.edu<mailto:wanah92@vt.edu> ________________________________ From: Naren Ramakrishnan <naren(a)cs.vt.edu> Sent: Tuesday, February 7, 2023 10:54 AM To: Shalaby, Wanawsha <wanah92(a)vt.edu> Subject: Fwd: Postdoc and data engineer positions at Georgia Tech Hi Wanawsha Pl forward to Sanghani and Urbcomp faculty + students. Naren ---------- Forwarded message --------- From: Kumar, Srijan <srijan(a)gatech.edu<mailto:srijan@gatech.edu>> Date: Mon, Feb 6, 2023 at 3:41 PM Subject: Postdoc and data engineer positions at Georgia Tech To: Naren Ramakrishnan <naren(a)cs.vt.edu<mailto:naren@cs.vt.edu>> Cc: De Choudhury, Munmun <munmun.choudhury(a)cc.gatech.edu<mailto:munmun.choudhury@cc.gatech.edu>> Dear Naren, Hope everything is going well at your end. As part of our ongoing and some newly funded research projects on the topics of online misinformation, journalism, and public health, Prof. Munmun De Choudhury and I are looking to recruit two postdoctoral researchers and a research/data engineer in our research groups. As you can imagine, these are highly interdisciplinary projects involving collaborations with social scientists, non-profits, and federal research organizations. The ideal candidate we are looking for would have strong machine learning, natural language processing, and social media analytic skills, including general expertise in data science. We believe one or more of your students or mentees might have this type of background for such a role. We would deeply appreciate it if you can spread the word or connect us with any student or mentee who you think might be a good fit. A more formal description of the positions is described below. Thanks! Srijan and Munmun More information about the positions: Under the auspices of two grants funded by the National Science Foundation (NSF) and the Centers for Disease Control and Prevention (CDC), the Computational Data Science Lab for Web and Social Media (CLAWS) and Social Dynamics and Well-Being (SocWeB) Labs at Georgia Tech are looking to recruit two postdoctoral researchers and one research/data engineer. Collectively, we are seeking to build detection and prediction methods, and visualization dashboards for various different types of misinformation on multiple social media platforms. Parallely, we also intend to develop computational causal and large-scale experimental approaches to understand the community impacts of online misinformation, particularly from the perspective of violence towards minoritized communities. Our eventual goal is to aid professional fact-checkers in efficiently deploying interventions to curb misinformation, as well as to provide formative empirical knowledge to public health workers to tackle the harms of online misinformation. These research agendas are inherently interdisciplinary and thus will involve working together with partners spanning social scientists, journalists, non-profits, etc. The ideal candidate will have strong machine learning, natural language processing, and social media analytic skills, including general expertise in data science, and will be supervised by Profs. Srijan Kumar and Munmun De Choudhury at the Schools of Computational Sciences and Engineering (CSE) and Interactive Computing (IC), respectively. The postdoc position provides opportunities to collaborate with and mentor graduate and undergraduate students, lead research projects, assist in research projects being led by others, collaborate in the development of the practical tools, collaborate with multi-disciplinary partners at and outside Georgia Tech, get hands-on grant writing opportunities, and embed themselves in the Georgia Tech research network. The data engineer position is a full-time position and provides opportunities to lead the development of social media data collection pipelines, inference methods and infrastructure, classification methods and infrastructure, visualization dashboards, opportunities to collaborate with researchers and participate in research projects, lead the interaction with other developers at Georgia Tech and at other partner organizations, and embed themselves in the Georgia Tech research network. All positions are full-time. Visa can be sponsored if necessary. The positions come with applicable employee benefits, including health insurance, sick leave, vacation, etc. There is a possibility of hybrid or partial remote work arrangements if necessary. We will offer a competitive annual salary. The contract will be for 2 years, though other durations can be discussed as well. ================================================= Srijan Kumar, PhD Assistant Professor, School of Computational Science and Engineering, Georgia Institute of Technology Web: https://www.cc.gatech.edu/~srijan/

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FEB 6 - INFORMATION SESSION: Amazon-Virginia Tech Initiative for Efficient and Robust Machine Learning (ML)
by Shalaby, Wanawsha 01 Feb '23

01 Feb '23

EVENT: Information Session on The Amazon-Virginia Tech Initiative for Efficient and Robust Machine Learning (ML) - VIA ZOOM DATE: Monday, February 2nd TIME: 1 - 2 PM EST REGISTRATION: Please register via Eventbrite<https://www.eventbrite.com/e/information-session-amazon-virginia-tech-initi…> to receive the Zoom link Last year, Virginia Tech and Amazon announced their partnership to advance research and innovation in artificial intelligence and machine learning. The Amazon - Virginia Tech Initiative for Efficient and Robust Machine Learning<https://sanghani.cs.vt.edu/amazon-virginia-tech-initiative/> includes machine learning-focused research projects, doctoral student fellowships, community outreach, and an establishment of a shared advisory board. The first set of awards for fellowships and research projects were made in Fall 2022 and you can learn more about the awardees (link to this page: https://vtx.vt.edu/articles/2022/10/amazon-virginia-tech-initiative-announc…). We will be hosting a virtual information session about this year's opportunities: Call for PhD student fellowships<https://sanghani.cs.vt.edu/wp-content/uploads/2023/01/2023-Amazon-VT-CPF_Fe…>, Call for Research Projects<https://sanghani.cs.vt.edu/wp-content/uploads/2023/01/2023-Amazon_VT-CFP_Pr…>. Funding for the research projects and fellowships would begin in Fall Semester 2023 (FY 2024). The information session will include an overview and objective of the initiative, funding experience from current VT faculty award recipient, and an overview of topic areas of interest from Amazon Science Teams. Faculty and PhD students interested in machine learning, data science, AI, and NLP are encouraged to attend and participate. Please register using the link below to receive the Zoom information. Eventbrite Registration: https://www.eventbrite.com/e/information-session-amazon-virginia-tech-initi… If you have any questions leading up to the event, contact Wanawsha Shalaby at wanah92(a)vt.edu. Thanks, Wanawsha Wanawsha Shalaby Manager of Operations UrbComp Program Coordinator Sanghani Center for AI and Data Analytics - Virginia Tech 900 N. Glebe Road, Arlington, VA 22203 Phone: (571) 858-3361 E-Mail: wanah92(a)vt.edu<mailto:wanah92@vt.edu>

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