Tham dự giải thưởng khoa học cho phụ nữ sử dụng khoa học ứng dụng cho các giải pháp cho Precision Agriculture

2018 ASEAN-U.S. SCIENCE PRIZE FOR WOMEN

Are you a young female scientist focusing on precision agriculture in the ASEAN region? You may be eligible for the 2018 ASEAN-U.S. Science Prize for Women!

As Southeast Asia’s population continues to grow rapidly, so does the demand on the region’s food system and farmers. Experts believe that by 2050, an estimated 40 percent more food will be needed to feed the region. These pressures are amplified by other challenges to ASEAN’s food security such as resource scarcity and extreme weather phenomena. Farmers are in need of new tools and technologies to create improved, efficient, low-cost and sustainable agricultural practices.

The 2018 ASEAN-U.S. Science Prize for Women seeks to identify and recognize ASEAN-based, early to mid-career women who are using applied sciences to solve these challenges through precision agriculture. The Prize is awarded by the United States Government in partnership with the Association of Southeast Asian Nations (ASEAN) and Underwriters Laboratories (UL).

Up to ten semi-finalists, one from each ASEAN member-state, will be identified and promoted. The top two finalists will be invited to compete in a head-to-head pitch competition during an ASEAN Ministerial event in the Philippines this October 2018. The pitch competition will determine the overall winner of the prize, who will receive $20,000, and an honorable mention, who will receive $5,000.

Qualified candidates can apply between April 5 and May 13, 2018. Applicants should demonstrate an excellence in science with an emphasis on precision agriculture; dedication to strengthening regional and national science capacities, networks, and collaborations; and experience and willingness to mentor, inspire, and support other women in STEM. Please see the Official Rules guide for complete information.

We are seeking:

  • Female citizens and residents of an ASEAN member state
  • PhD. degree graduates or equivalent degree
  • Scientists under 40 years of age
  • Applicants whose research focuses on precision agriculture

The Prize aims to:

  • Recognize and support promising, early-career women scientists pursuing scientific careers in the ASEAN region
  • Encourage intra-ASEAN and ASEAN-U.S. collaboration around precision agriculture
  • Help to inspire young women in the ASEAN region to pursue STEM careers

Key Information

Questions? Contact scienceprizeforwomen@gmail.com

Apply here.

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Tuyển sinh khoá học hè về Trí tuệ nhân tạo và học máy

Khoá h?c hè v? Trí tu? nhân t?o và h?c máy

(Summer school on Artificial Intelligence and Machine Learning)

Th?i gian: 9 – 13 tháng 7 n?m 2018.
??a ?i?m: ??i h?c Tân T?o – ??c Hoà, Long An
??n v? t? ch?c: Khoa K? Thu?t – ?H Tân T?o
Gi?ng viên:

– PSG. TS Qu?n Thanh Th? – ?H Bách Khoa HCM.
– TS. Nguy?n Xuân Hà – nhà khoa h?c d? li?u (data scientist), công ty Ambyint, Canada.
– TS. V? Quang Hi?u – nhà khoa h?c d? li?u (data scientist), công ty Zalora – Singapore.
– TS. Tr?n V? Khanh – ?H Wollongong – Australia
– TS. Tr?n Duy Hi?n – ?H Tân T?o

??i t??ng tuy?n sinh

1) Sinh viên n?m cu?i ho?c m?i ra tr??ng các ngành liên quan ??n công ngh? thông tin và truy?n thông
2) Các tr??ng h?p khác, liên h? tr?c ti?p ban t? ch?c

H?c phí:

– Mi?n phí cho ??i t??ng 1.

Chi phí ?i l?i

– Các b?n ngoài Tp. HCM t? túc ?i l?i.
– Hàng ngày có 1 xe 30 ch? ??a ?ón t? Qu?n 1.

?n u?ng (canteen ?H Tân T?o):

– Các b?n có th? ??ng ký ?n ? t?i KTX và canteen ?H Tân T?o v?i chi phí 600K/khoá
– Các b?n khó kh?n v? tài chính, liên h? BTC ?? ???c h? tr? riêng.

S? l??ng tuy?n: 40 sinh viên

H? s?:

– CV
– Phi?u ?i?m
– Th? ??ng ký (trình bày lý do, nguy?n v?ng)

H? s? g?i v?: dung.cao@ttu.edu.vn

H?n chót nh?n h? s?:  25/06/2018.
Ch??ng trình (có th? thay ??i n?u có thêm các gi?ng viên khác nh?n l?i gi?ng d?y):

  Sáng (8h30 – 11h30) Chi?u (13h30 – 16h30)

Th? 2

(9/7)

Gi?i thi?u
Xác xu?t th?ng kê cho AI và ML (TS. Hi?n)

Xác xu?t th?ng kê cho AI và ML (TS. Hi?n)

Th? 3 (10/7)

Machine learning (TS. Khanh)

Machine learning (TS. Khanh)

Th? 4 (11/7)

Machine learning (TS. Khanh)

?ng d?ng ML- Recommendation System (TS. Hi?u)

Th? 5 (12/7)

Deep learning c?n b?n (PGS Th?)

X? lý ngôn ng? dùng Deep learning (PGS Th?)

Th? 6 (13/7)

Deep learning cho x? lý ?nh (TS Hà)

T?ng k?t, trao gi?y ch?ng nh?n

Liên h?:

TS. Cao Ti?n D?ng – Email: dung.cao@ttu.edu.vn

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