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About WorldQuant:

WorldQuant is a global quantitative asset management firm with over $7 billion in assets under management. Founded in 2007 by Igor Tulchinsky with the belief that talent is global, but opportunity is not, WorldQuant has more than 1000 employees spread among 27 global offices.

WorldQuant seeks to get to the future faster, guided by the principle that there are an infinite number of insights to discover. The firm develops and deploys financial strategies across a variety of asset classes in global markets.

We go where the talent is: Whether in China, Hungary, India, Singapore, Vietnam or elsewhere, our employees are given the freedom and tools they need to deliver results and work in a way that is best for them.

Our Job Openings:  

  1. Research Intern: https://www.worldquant.com/career-listing/?id=4434997006

This position is responsible for assisting with daily research and analysis tasks – which includes scripting for monitoring, portfolio visualization and alpha signal analysis. Candidates need not have prior knowledge of financial markets, but must have a strong interest in learning about stock markets and other capital markets.

Successful candidates will self-starters, have a research scientist mind-set, and be creative and persevering deep thinkers who are motivated by unsolved challenges. Our highly accomplished senior staff will provide the interns with mentoring and guidance to help them succeed.

  1. Software Engineer Intern: https://www.worldquant.com/career-listing/?id=4436421006

As a technology intern at WorldQuant, you will receive guidance and training by some of our most talented engineers. You will join a team that is creating state of the art software to enable a fully automated, cutting-edge investment process.

What we offer:

  • 6-month learning and development path – challenge your intellectual mind
  • Competitive compensation package with clear career road-map – opportunities to transition to a full-time role
  • Online Medical support
  • Team building activities every month – employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
  • Happy-hour with tea break, snacks and meals every day!

For more information on 2025 Internship Program, you can join 1 out of 3 events below:

  • HCM Universities’ Info Session: 18th February 2025
  • Hanoi Universities’ Info Session: 20th February 2025
  • WorldQuant-VEF Webinar: 28th February 2025

Details on registration info will be released by 7th February 2025. Stay tuned!

Please apply directly on our WorldQuant Careers site: https://www.worldquant.com/career-listing/

You can also send your resume and position of interest to our recruiter:

We look forward to seeing you at WorldQuant!

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  1. Objective
    • Select talented students with a passion for mathematics to represent the university in the 3rd Al-Khorezmi International Mathematical Olympiad (AKHIMO) in 2025 at Urgench State University, Uzbekistan.
    • Encourage students with an interest in mathematics to engage in international collaboration and exchange.
  1. About the Competition
    The Al-Khorezmi International Mathematical Olympiad (AKHIMO) is a mathematics competition for undergraduate students. Its mission is to enhance intellectual potential and inspire students to pursue STEM education. AKHIMO aims to identify and nurture students' creative talents and research interests while fostering an international network and intercultural relationships among participants from various countries. Additionally, it celebrates the significant contributions of Muhammad Al-Khorezmi to fundamental sciences. The primary goal of AKHIMO is to motivate students to engage deeply with the exact sciences and broaden their international collaborations, all while exploring the scientific heritage of Central Asia, particularly Uzbekistan. The inaugural AKHIMO took place at Urgench State University from October 26-31, 2018, featuring teams from 58 universities, including 35 institutions from 20 countries. The second Olympiad was held at Karakalpak State University from October 23-29, 2023, with participation from 40 universities across 14 countries. The third AKHIMO is scheduled for May 26-31, 2025, at Urgench State University, where we expect to host 100 teams from approximately 50 countries. Although AKHIMO is primarily an individual competition, there is also a team component. The official language of AKHIMO is English.
    • In 2025: 
      • The 3rd AKHIMO is scheduled from May 26–31, 2025, at Urgench State University, Uzbekistan.
      • Main format: Individual competition.
      • Each team consists of 3 students. Participants will solve problems in Algebra, Analysis, and Combinatorics.
      • Official language: English.

For more details, visit: 3rd Al-Khorezmi International Mathematical Olympiad

  1. Team Selection Information
    • Registration period: From 9:00 AM, January 6, 2025, to 3:00 PM, January 10, 2025.
      Register via this link.
    • Interview and selection:
      • Date: Sunday, 9:30 AM, January 12, 2025.
      • Location: Faculty of Mathematics and Computer Science Office (Room F09, 227 Nguyễn Văn Cừ, District 5, HCMC).
    • Selection: 3 students will be chosen for the university's AKHIMO 2025 training team.
  1. Eligibility
    • Students must have previously been members of the university's National Mathematics Olympiad team (2022, 2023, or 2024) and achieved at least a third prize.
    • Students who competed in both Algebra and Analysis in previous National Mathematics Olympiads are strongly encouraged to apply.

3rd al-Khorezmi International Mathematical Olympiad for University ...

 

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As alumni of the University of Science, VNU-HCM, the management of Onemind Solution is eager to support the university by providing students with internship opportunities, exposing them to real-world work environments, and enhancing their professional skills for post-graduation success.

Internship Details

  • Content:
    Interns will undertake assigned projects and participate in real-world company initiatives, including:

    • Designing, configuring, and deploying wired and wireless network systems and server room equipment.
    • Applying IT operational standards for corporations, enterprises, and hotels.

  • Eligibility:

    • Final-year students recommended by their department/university.
    • Students conducting projects on computer networks or ICT/ELV systems.

  • Duration:

    • Each term lasts 3–6 months, depending on the assigned project.
    • Each term accommodates 5 students.

  • Location:

    • 11, Street 2, Cư xá Đô Thành, Ward 4, District 3, Ho Chi Minh City.

Requirements for Applicants

  • Must be a student of the University of Science, VNU-HCM.
  • Possess an official recommendation letter from the university's Student Affairs Office.
  • Demonstrate honesty, diligence, and a high sense of responsibility.
  • Exhibit a strong desire to learn and improve.
  • Have teamwork and independent working skills.
  • Comply with administrative and operational regulations of the company during the internship.

Benefits for Interns

  • Access to the latest devices and technologies in light current systems and system integration.
  • Guided support from company staff and certification of project completion or internship completion upon conclusion.
  • Monthly financial support of 1,000,000 VND for travel and living expenses.
  • Opportunity to become a full-time employee at Onemind Solution if performance is excellent.

Contact Information:
Onemind Solution Co., Ltd.

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  • Invited Speaker: HUYNH MANH KHANG (Georgia Institute of Technology, USA)
  • Date & Time: 12nd December 2024, 2024, 09:00 - 11:00.
  • Title:  Optimization of Controlled Sweeping Processes and Neural Networks
  • Room: Room 7.1 Administration Building, Linh Trung Campus.
  • Abstract:  We give a high-level overview of the theory of differential equations, starting from Picard's theorem, leading to applications to Navier-Stokes, and we then discuss possible ideas about the undecidability of blow-ups.

This talk will be accessible for first-year undergrads.

After the seminar, Dr. Huynh Manh Khang will take a few minutes to share his learning journey, from being an undergraduate honors student to achieving his postdoctoral accomplishments.

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Professor Jialiang Li, from the Department of Statistics and Data Science and the Duke-NUS Graduate Medical School at the National University of Singapore, is a renowned researcher specializing in threshold models, structural equation modeling, personalized and diagnostic medicine, model averaging, data smoothing, statistical machine learning, and survival analysis. An elected member of the International Statistical Institute (ISI) and a fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS), he has received accolades such as Singapore's Research Talent Award. Professor Li has published extensively in leading journals and serves as an editor for esteemed publications like the Annals of Applied Statistics, Biometrics, and the Annual Review of Statistics and Its Application.

Seminar Details:

    • Title: Robust Model Averaging Prediction of Longitudinal Response with Ultrahigh-dimensional Covariate
    • Speaker: Professor Dr. Jialiang Li
    • Time: 02:00 PM, Saturday, December 12nd, 2024.
    • Venue: Room C.41, University of Science, VNU-HCM.
      (227 Nguyen Van Cu Street, Ward 4, District 5, Ho Chi Minh City)

Abstract:

Model averaging is an attractive ensemble technique to construct fast and accurate prediction. Despite of having been widely practiced in cross-sectional data analysis, its application to longitudinal data is rather limited so far. We consider model averaging for longitudinal response when the number of covariates is ultrahigh. To this end, we propose a novel two-stage procedure in which variable screening is first conducted and then followed by model averaging. In both stages, a robust rank-based estimation function is introduced to cope with potential outliers and heavy-tailed error distributions, while the longitudinal correlation is modeled by a modified Cholesky decomposition method and properly incorporated to achieve efficiency. Asymptotic properties of our proposed methods are rigorously established, including screening consistency and convergence of the model averaging predictor, with uncertainties in the screening step and selected model set both taken into account. Extensive simulation studies demonstrate that our method outperforms existing competitors, resulting in significant improvements in screening and prediction performance. Finally, we apply our proposed framework to analyze a human microbiome dataset, showing the capability of our procedure in resolving robust prediction using massive metabolites.

Keywords: Robust statistics; Longitudinal model; high-dimensional model

Registration:

We kindly invite faculty members, PhD candidates, graduate students, and undergraduate students to participate.
Register here!

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  1. Mathematical Analysis Seminar, Academic Year 2024-2025 - Optimization of Controlled Sweeping Processes and Neural Networks
  2. WorldQuant Office Tour Event
  3. Mechanics Department Seminar - November 2024
  4. Seminar: Attacking reinforcement learning agents via data poisoning and how to defend