**徵才中**
JD - PRODUCER (English Podcasts) at Ghost Island Media 鬼島之音
Ghost Island Media is a podcast network based in Taipei, Taiwan. We create and curate informative and engaging audio shows featuring breakout voices. Our eight shows range widely in topics: climate, cannabis, storytelling, audio documentaries, journalism, diplomacy and more. Our shows are in English or Mandarin, and our audiences are global. We are looking for a producer to join our team.
-------- WORK WITH GHOST ISLAND MEDIA --------
We are a small team of writers, creators, and producers and we work with a dynamic cast of hosts and collaborators. We are bilingual and mostly multi-cultural. We launched our first show in April 2019.
Our show on cannabis ”大麻煩不煩” won “Best Show Host” at the 2021 KKBOX Podcast Awards in Taiwan. Our current-affairs show, “The Taiwan Take” was finalist at the 2020 Excellent Journalism Award in Taiwan. Our climate show, “Waste Not Why Not” is a recognized “Global Circular Economy Solution” by SITRA Fund in Finland. In May 2021 we launched Taiwan’s first audio documentary podcast.
-------- YOUR ROLE --------
Podcasts: You will work closely with executive producers, hosts, and assistants to create and present new episodes. You will also help shows grow and contribute to the development of new shows.
Network: You will work alongside cofounders to grow the network through programming and partnerships.
You are a storyteller with experience in writing, audio, visual, or interactive. You believe in advocacy, social impact, and the positive power of media. You are a team player. You might even be weird. Your tasks will include:
+ Identify and pitch new episodes
+ Research and book guests
+ Conduct pre-interviews and draft episode outlines or scripts
+ Recording
+ Editing, packaging audio files
+ Publishing on RSS platforms and social media
-------- YOU SHOULD BE / HAVE --------
+ A love for storytelling
+ Strong research, writing, and analytical skills
+ Detailed oriented and above-average organizational skills
+ Native fluency in English
+ A podcast listener
+ Heavy consumer of culture and media in wherever your interests may be
+ Knowledge of world news, geopolitics, and the current zeitgeist
+ Expertise in something that's uniquely you
+ Curiosity and the ability to engage in conversations on topics you're unfamiliar with
+ Ability to ask insightful questions that push conversations forward
-------- HELPFUL IF YOU HAVE, BUT NOT REQUIRED --------
+ Fluency in Mandarin and/or a third language
+ Podcasting or radio experience
+ Newsroom experience
+ Research experience at a graduate level
+ Familiarity with the news, entertainment, education, gaming, and publishing industries
+ Include in your email to us guesses on why I picked these three photo stills
+ Knowledge of social media trends and internet culture
+ Experience with and/or an eye for graphic design and video editing
Candidates should send CV and salary expectation to web@ghostisland.media
Looking forward to hearing from you!!
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【演講】2019/11/19 (二) @工四816 (智易空間),邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan) 演講「Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management」
IBM中心特別邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan)前來為我們演講,歡迎有興趣的老師與同學報名參加!
演講標題:Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management
演 講 者:Prof. Geoffrey Li與Prof. Li-Chun Wang
時 間:2019/11/19(二) 9:00 ~ 12:00
地 點:交大工程四館816 (智易空間)
活動報名網址:https://forms.gle/vUr3kYBDB2vvKtca6
報名方式:
費用:(費用含講義、午餐及茶水)
1.費用:(1) 校內學生免費,校外學生300元/人 (2) 業界人士與老師1500/人
2.人數:60人,依完成報名順序錄取(完成繳費者始完成報名程序)
※報名及繳費方式:
1.報名:請至報名網址填寫資料
2.繳費:
(1)親至交大工程四館813室完成繳費(前來繳費者請先致電)
(2)匯款資訊如下:
戶名: 曾紫玲(國泰世華銀行 竹科分行013)
帳號: 075506235774 (國泰世華銀行 竹科分行013)
匯款後請提供姓名、匯款時間以及匯款帳號後五碼以便對帳
※將於上課日發放課程繳費領據
聯絡方式:曾紫玲 Tel:03-5712121分機54599 Email:tzuling@nctu.edu.tw
Abstract:
1.Deep Learning based Wireless Resource Allocation
【Abstract】
Judicious resource allocation is critical to mitigating interference, improving network efficiency, and ultimately optimizing wireless network performance. The traditional wisdom is to explicitly formulate resource allocation as an optimization problem and then exploit mathematical programming to solve it to a certain level of optimality. However, as wireless networks become increasingly diverse and complex, such as high-mobility vehicular networks, the current design methodologies face significant challenges and thus call for rethinking of the traditional design philosophy. Meanwhile, deep learning represents a promising alternative due to its remarkable power to leverage data for problem solving. In this talk, I will present our research progress in deep learning based wireless resource allocation. Deep learning can help solve optimization problems for resource allocation or can be directly used for resource allocation. We will first present our research results in using deep learning to solve linear sum assignment problems (LSAP) and reduce the complexity of mixed integer non-linear programming (MINLP), and introduce graph embedding for wireless link scheduling. We will then discuss how to use deep reinforcement learning directly for wireless resource allocation with application in vehicular networks.
2.Deep Learning in Physical Layer Communications
【Abstract】
It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of the conventional communication systems. In this talk, we present our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) block in the conventional communication systems or jointly optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures. For DL based communication systems with block structures, we present joint channel estimation and signal detection based on a fully connected deep neural network, model-drive DL for signal detection, and some experimental results. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems with the help of deep reinforcement learning (DRL) and generative adversarial net (GAN). At the end of the talk, we provide some potential research topics in the area.
3.Machine Learning Interference Management
【Abstract】
In this talk, we discuss how machine learning algorithms can address the performance issues of high-capacity ultra-dense small cells in an environment with dynamical traffic patterns and time-varying channel conditions. We introduce a bi adaptive self-organizing network (Bi-SON) to exploit the power of data-driven resource management in ultra-dense small cells (UDSC). On top of the Bi-SON framework, we further develop an affinity propagation unsupervised learning algorithm to improve energy efficiency and reduce interference of the operator deployed and the plug-and-play small cells, respectively. Finally, we discuss the opportunities and challenges of reinforcement learning and deep reinforcement learning (DRL) in more decentralized, ad-hoc, and autonomous modern networks, such as Internet of things (IoT), vehicle -to-vehicle networks, and unmanned aerial vehicle (UAV) networks.
Bio:
Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing and machine learning for wireless communications. In these areas, he has published around 500 referred journal and conference papers in addition to over 40 granted patents. His publications have cited by 37,000 times and he has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters almost every year since 2001. He has been an IEEE Fellow since 2006. He received 2010 IEEE ComSoc Stephen O. Rice Prize Paper Award, 2013 IEEE VTS James Evans Avant Garde Award, 2014 IEEE VTS Jack Neubauer Memorial Award, 2017 IEEE ComSoc Award for Advances in Communication, and 2017 IEEE SPS Donald G. Fink Overview Paper Award. He also won the 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.
Li-Chun Wang (M'96 -- SM'06 -- F'11) received Ph. D. degree from the Georgia Institute of Technology, Atlanta, in 1996. From 1996 to 2000, he was with AT&T Laboratories, where he was a Senior Technical Staff Member in the Wireless Communications Research Department. Currently, he is the Chair Professor of the Department of Electrical and Computer Engineering and the Director of Big Data Research Center of of National Chiao Tung University in Taiwan. Dr. Wang was elected to the IEEE Fellow in 2011 for his contributions to cellular architectures and radio resource management in wireless networks. He was the co-recipients of IEEE Communications Society Asia-Pacific Board Best Award (2015), Y. Z. Hsu Scientific Paper Award (2013), and IEEE Jack Neubauer Best Paper Award (1997). He won the Distinguished Research Award of Ministry of Science and Technology in Taiwan twice (2012 and 2016). He is currently the associate editor of IEEE Transaction on Cognitive Communications and Networks. His current research interests are in the areas of software-defined mobile networks, heterogeneous networks, and data-driven intelligent wireless communications. He holds 23 US patents, and have published over 300 journal and conference papers, and co-edited a book, “Key Technologies for 5G Wireless Systems,” (Cambridge University Press 2017).
internet radio taiwan 在 萬芳 One-Fang Facebook 的最讚貼文
密集的彩排演出鬥陣之後
接下來就要專注準備著紐約的演出
這次策展人Mia想以女性為主題
在紐約中央公園夏日音樂祭的台灣之夜
於是我從前一陣子就著這個主題思索著我可以分享的
從女性的視角分享生命的連結以及與世界的關係
過去我的歌大都唱著愛情
是的,愛情很重要啊
我們在愛情裡翻跌
在愛情裡快樂
也在愛情裡認識自己的脆弱與強韌
曾經愛情就是世界
後來我唱著生命
生命的各種支流延伸出的關係
是的,不是只有愛情最重要
我們逐漸要面對生命的聚散
關係的變化
以及原生家庭的重整
還有自我的自由與真正的夢想
從女性的親身體驗去分享那些快樂與悲傷
那些能與不能
而我究竟可不可以透過歌來明確表達呢
其實我不知道耶
但我是這麼想的
如果你剛好在紐約
歡迎你來到現場
一起通過這些不同的女聲
也搖擺也安靜體會
如果會唱也大聲唱
那我應該會很開心
並且謝謝你
20190803紐約中央公園見
2019 Taiwanese Waves 藝人專屬動畫 Vol.4 萬芳 One-Fang
萬芳以歌手出道逾28年,出版超過22張專輯,經典暢銷歌曲不計其數,尤以「新不了情」為華人世界家喻戶曉的名曲。早期作品溫婉高亢,扣人心弦,道盡情海翻轉的紅塵心事,近年則展現人文質地和創作才華。2010入圍金曲獎最佳女歌手 , 2016入圍金曲獎最佳單曲製作人。
萬芳,她是歌手、詞曲創作人、製作人、電台DJ、影視舞台劇演員,1996年開始涉足劇場,共計演出15齣舞台劇,巡演台灣、大陸、新加坡、澳門、美國超過300場。她在各個領域中自我探索和開發,再用內在的養份和能量豐富各個領域的表演和創作。
無論在哪裡,無論做甚麼,萬芳都當作是一份對世界的分享與祝福,透過所有她所能掌握的方式,她都在向這個世界說愛,重新找回溫柔感動的力量。
・Date:8 / 3 / 2019 (Saturday)
・Time:5pm doors, 6 pm - 10 pm show
・Free Entry!
・Venue:Rumsey Playfield, Central Park, NYC
・Artists:阿爆(阿仍仍)ABao | 9m88 |Tizzy Bac | 萬芳 One-Fang
#TaiwaneseWaves
#SummerStage19
#TheWavesAreComing
#TaiwaneseBaes
#倒數一個月
2019 Taiwanese Waves Lineup Video Vol.4 One-Fang
With a performing arts career spanning nearly thirty years, One-Fang is one of the most recognizable and beloved voices in the Taiwanese pop music. She established herself as a mainstay in the Mandopop genre during the 1990s, releasing a string of chart-topping hits, including her best-known the tune, “C'est la vie, mon chéri.”
To date, she has released 22 full-length albums, but the music is only part of her story. One-Fang also enjoys high acclaim as an actor in theater, television, and film. She made her debut in the theater world in 1996 and has taken part in fifteen major Chinese-language productions, performing in more than 300 shows in Taiwan, China, Singapore, Macao, and the US.
One-Fang has also maintained a long-standing career in radio. She hosted a prime time music program for Taipei’s 96.3 FM i-radio from 2000 to 2017 and currently serves as DJ for two Chinese-language Internet radio stations.
Today One-Fang remains as active as ever, always yearning to explore new territory as a performing artist. Departing from the traditional Mandopop model of collaborating with a composer and lyricist, One-Fang is focusing more on her songwriting and production. Whether behind the microphone, on the theater stage, in front of the camera, or inside a broadcasting booth, One-Fang thrives on connecting us all with the blessings of life, both big and small. Her work is a sincere, loving expression to a world in need of more tenderness and gentle strength.
・Date:8 / 3 / 2019 (Saturday)
・Time:5pm doors, 6 pm - 10 pm show
・Free Entry!
・Venue:Rumsey Playfield, Central Park, NYC
・Artists:阿爆(阿仍仍)ABao | 9m88 |Tizzy Bac | 萬芳 One-Fang
#TaiwaneseWaves
#SummerStage19
#TheWavesAreComing
#TaiwaneseBaes
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