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About

Global Young Leaders Program is a student exchange program fully funded by POSCO & POSTECH. POSCO Group’s overseas subsidiaries used to fund the POSCO Global Young Leaders Program to train and cultivate next-generation global talent and now, POSTECH also would like to join this program and give more opportunities to be Global Young Leaders in POSTECH and furthermore, in Korea.
All expenses throughout the stay in Korea will be covered by POSCO & POSTECH for selected students. As a Global Young Leaders Student, you will be able to take courses and participate in research as well as experience Korean culture and industry.

Scholarship
  • Round-Trip Airfare: Actual Expenses
  • Settlement Fund: 500,000 KRW once
  • Living Expenses: 1,000,000 KRW per month
  • Highlight
    Additional Specialized Cultural Programs & Social Events will be provided only for Global Young Leaders Students
    - Busan International Film Festival, DMZ Tour, Cooking Class, Ski Camp and etc
For more detail: POSTECH INTERNATIONAL RELATIONS
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The Science Prize for Women 2024

The United States Government, in partnership with the Association of Southeast Asian Nations (ASEAN) and UL Research Institutes, aims to strengthen ASEAN science and technology capacity and gender equality through an annual UL Research Institutes-ASEAN-U.S. Science Prize for Women (“Prize”). The 2024 Prize will provide promising, ASEAN-national, Mid-career and Senior female scientists with recognition awards from ASEAN and the United States government and UL Research Institutes for their academic and professional achievements.

The 2024 Prize will emphasize the role of female scientists who have used their work to improve the society in sustainable ways and have acted as role models for other women learning, working in, and pursuing careers in science, technology, engineering and math (STEM). This year, the Prize focuses on the theme of Climate Resilience and Adaptation .

Along with recognition for their achievements, the winners are eligible to receive a cash award of $12,500 each for both the Senior Scientist and the Mid-career Scientist categories. Additionally, the runner-up finalists in each category will receive an honorable mention and $5,000.

For more infomation: 

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"Probability - Statistics Seminar in January 2024" is going to be organized with a report by Dr. Nguyen Ngoc Dung.

Dr. Nguyen Ngoc Dung is currently a postdoctoral researcher at the Department of Statistical Sciences, University of Padova, Italy. She is a former student of the Department of Mathematics - Informatics, Academic year 2013. She defended her thesis titled "Model selection for colored graphical models for paired data", in May 2022. Current research fields Dr. Dung's current work is Gaussian graphical models for paired data, high-dimensional mixture of experts.

Undergradate, Master and Ph.D. students and interested people are invited to participate the seminar.

    • Time: 2:30 p.m. to 3:30 p.m. Thursday, January 25, 2024.
    • Location: Room F207, Campus 1- University of Science(227 Nguyen Van Cu St., District 5, Ho Chi Minh City).

Summary of the report is as follows:

Gaussian Graphical Model is a statistical model that represents the conditional dependence structure between random variables using a graph. The Gaussian graph model is also known as Gaussian Markov random fields or Gaussian network. The structure of a Gauss graph basically consists of two parts: nodes and the edges, in which each node corresponds to a random variable, and each edge represents the conditional dependence between nodes (random variables). This dependence can be directed or undirected. The Gauss graph model is widely applied in various scientific fields including: biology, finance and computer science.

This talk aims to briefly introduce the Gauss graph model and related issues, from theoretical foundations to applications. The main content includes the following sections:

    • Introduction to the Gauss graph model;
    • Application of Gauss graph model (some examples in biology, finance, ...);
    • Select Gauss graph model (Lasso graph model, stepwise backward selection);
    • Introduction to the Gauss graph model with symmetry conditions;
    • Selection of Gauss graph model with symmetry condition (fused Lasso, stepwise backward selection);
    • Applying Gauss graph model with symmetry condition for paired data.

Scan the QR code below or click on the link before January 24, 2024 to register to attend.

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Mathematical Analysis Seminar, Academic Year 2023-2024

  • Invited Speaker: TRAN BAO NGOC (Institute of Mathematics and Scientific Computing, University of Graz, Austria)
  • Date & Time: 07, March, 2024, 14.00 - 16.00
  • Title: Rigorous derivation of Michaelis-Menten kinetics in the presence of diffusion
  • Room: F207, Nguyen Van Cu Campus.
  • Abstract: Reactions with enzymes are critical in biochemistry, where the enzymes act as catalysis in the process. One of the most used mechanisms for modeling enzyme catalyzed reactions is the Michaelis-Menten (MM) kinetic. In the ODE level, i.e. concentrations are only on time-dependent, this kinetic can be rigorously derived from mass action law using quasi-steady-state approximation. This issue in the PDE setting, for instance when molecular diffusion is taken into account, is considerably more challenging and only formal derivations have been established. In this paper, we prove this derivation rigorously and obtain MM kinetic in the presence of spatial diffusion. In particular, we show that, in general, the reduced problem is a cross diffusion-reaction system. Our proof is based on improved duality method, heat regularization and a suitable modified energy function. To the best of our knowledge, this work provides the first rigorous derivation of MM kinetic from mass action kinetic in the PDE setting.
  • Organizer: LE TRONG THANH, BUI (Vietnam National University – Ho Chi Minh City, University of Science)

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University of Padua is conducting the first call for the academic year 2024 - 2025, offering various fields of study suitable for graduates in Mathematics, Computer Science, and Data Science:

1. Data Science

Application process details: Data Science - University of Padua

Requirements: At least 3 years of Bachelor's degree program with skills and knowledge in Mathematics and Computer Science.

2. Computational Finance

Application process details: Computational Finance - University of Padua

Requirements: At least 3 years of bachelor's degree program with skills and knowledge in Mathematics, Probability, and Statistics.

3. Mathematics

Application process details: Mathematics - University of Padua

Requirements: At least 3 years of bachelor's degree program with skills and knowledge in Algebra, Analysis, Numerical Analysis, Probability and Statistics, Mathematical Physics, and Geometry.

4. Computer Science

Application process details: Computer Science - University of Padua

Requirements: At least 3 years of bachelor's degree program with skills and knowledge in Computer Science, Information Technology, Mathematics, Probability, and Statistics.

  • English language certificate requirement: minimum B2 (CEFR) or equivalent (e.g., IELTS >= 6.0), details can be found in the Language requirement section.
  • Application periods:
    • Phase 1: 02/11/2023 - 02/02/2024 (for both international and Italian students)
    • Phase 2: 02/03/2024 - 02/05/2024 (for both international and Italian students)
    • Phase 3: 02/06/2024 - 02/08/2024 (only for Italian students)
  • Tuition fee: 2739€/year
  • Scholarships and grants. There are various scholarship and grant sources available:
    1. Padua International Excellence Scholarship - former student Lê Ngọc Diễm (class of 2015) has received this scholarship.
    2. Fee-waivers. University of Padua has a policy of 100% tuition fee waiver for students from families with lower average income than the specified threshold (usually lower: 19,000 to 24,000€/year).
    3. Scholarships from departments within University of Padua.
    4. Scholarships from the Italian Ministry of Foreign Affairs and International Cooperation (MAECI).
    5. Invest Your Talent (Italian Ministry of Foreign Affairs). Details can be found in the Scholarships section.
  • Former students of the Department who have pursued master's programs at University of Padua:
    1. Trần Khải An (academic year 2014) - Master's in Mathematics 2019 - 2021 - ALGANT program of Europe.
    2. Lê Ngọc Diễm (academic year 2015) - Master's in Data Science 2020 - 2022 - Padua International Excellence Scholarship.
  1. Seminar in Mathematics, Academic Year 2023-2024
  2. Seminar Wear-Then-Act: Wearables for Personalized Healthcare & HCI (Assistant Professor Anh Nguyen)
  3. Mathematical presentation: “Renormalised” isoperimetric inequalities
  4. Admission Prospectus Fall 2024-Spring 2025