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瑞典皇家理工學(xué)院

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Project description

The Division of Software and Computer Systems within the Department of Computer Science of the School of Electrical Engineering and Computer Science, KTH is looking for excellent candidates for two PhD student positions in the intersection of the following areas: natural language processing, natural-language understanding, deep learning (DL).?

The advertised positions are within the project “ALEC2: Adaptive Level of Effective and Continuous Care to common mental health disorders” that aims at development of AVA (Automated Vigilance Assistant), an AI-supported system for online cognitive behavioral therapy to patients with common mental health disorders. AVA will make use of AI technologies, namely NLP, NLU and DL, to automatically diagnose, predict and monitor mental health conditions, to support patients towards full recovery.?

The doctoral students will contribute to development of the AVA system with AI modules and a conversational AI to interview patients.?

Preliminary starting date is Oct 15.?

Third-cycle subject: Information and Communication Technology?

Supervision: The doctoral student will be supervised by Professor Vladimir Vlassov.

https://people.kth.se/~vladv/

What we offer

1. International research environment in collaboration with industries/prominent universities all over the world:

https://www.kth.se/en/studies/phd/why-1.521017

2. A workplace with many employee benefits, monthly salary according to KTH’s Doctoral student salary agreement:

https://intra.kth.se/en/anstallning/anstallningsvillkor/lon/doktorandstegen-1.572915

3. A postgraduate education at institution active and supportive in matters pertaining to working conditions, gender equality, diversity as well as study environment?

4. Our research group offers a friendly working environment and the main language used is English.?We perform foundational and systems research in areas of Deep Learning, big data analytics, data intensive computing, stream processing, distributed systems, Cloud computing and autonomic computing?

5. relocate and be settled in Sweden and at KTH:

https://www.kth.se/en/om/work-at-kth/relocation

Admission requirements

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance)? applicant must have basic eligibility in accordance with either of the following:?

1. passed a second cycle degree (for example a master's degree)?

2. completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or?

3. acquired, in some other way within or outside the country, substantially equivalent knowledge?

The applicant must have strong academic credentials, including courses on least one of the subjects: NLP, NLU, DL; written and spoken English proficiency. Written and spoken Norwegian or Swedish proficiency is beneficial. Good to have work experience from at least one of the areas: NLP, NLU, DL.?

In addition, there is also a mandatory requirement for English equivalent to English B/6:

https://www.kth.se/en/studies/phd/admission-requirements-1.520175

Selection

In order to succeed as doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process candidates will be assessed upon their ability to:?

1. independently pursue his/her work?

2. collaborate with others?

3. have a professional approach?

4. analyse and work with complex issues?

5. Practical problem-solving skills and creativity; motivation for doctoral studies?

After the qualification requirements, great emphasis will be placed on personal competency.?

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. Total length of employment may not be longer than what corresponds to full-time doctoral education in four years time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.

Application

Apply for position and admission through KTH's recruitment system:

https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:426117/where:4/

It is the applicant’s responsibility to ensure that application is complete in accordance with instructions in advertisement.?

Applications must be received at the last closing date, midnight CET/CEST (Central European Time/Central European Summer Time)?

Applications must include following elements:?

1. CV including relevant professional experience and knowledge?

2. Application letter with brief description of why you want to pursue research studies, about what your academic interests are, how they relate to your previous studies and future goals (Maximum 2 pages long)?

3. Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above).?Translations into English or Swedish if original document is not issued in one of these languages?

4. Representative publications or technical reports.?For longer documents, please provide a summary (abstract) and web link to the full text

Last application date: 30.Sep.2021 11:59 PM CEST

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實(shí)習(xí)內(nèi)推

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校招崗位

字節(jié)跳動(dòng)搜索團(tuán)隊(duì)百度搜索策略部京東廣告質(zhì)量部｜阿里巴巴達(dá)摩院對(duì)話智能團(tuán)隊(duì)｜華為諾亞方舟實(shí)驗(yàn)室百度智能生活事業(yè)群組｜中科院自動(dòng)化所｜百度自然語言處理部ERNIE團(tuán)隊(duì)｜曠視研究院3D組｜OpenMMLab

社招崗位

OPPO數(shù)據(jù)智能隱私計(jì)算團(tuán)隊(duì)｜百度ACG智慧城市事業(yè)部｜阿里巴巴達(dá)摩院決策智能實(shí)驗(yàn)室｜元象唯思認(rèn)知智能組｜京東搜索檢索團(tuán)隊(duì)遠(yuǎn)鑒科技｜騰訊天衍實(shí)驗(yàn)室｜華為諾亞方舟實(shí)驗(yàn)室上海人工智能實(shí)驗(yàn)室｜瀾舟科技｜百度智能生活事業(yè)群組｜中科院自動(dòng)化所｜浙江大學(xué)杭州國際科創(chuàng)中心｜中國三星研究院｜深透醫(yī)療｜曠視研究院3D組｜OpenMMLab｜PayPal｜百度視覺技術(shù)團(tuán)隊(duì)

高校招生

清華大學(xué)NLP實(shí)驗(yàn)室清華大學(xué)李涓子教授課題組｜日內(nèi)瓦大學(xué)｜香港大學(xué)｜哥本哈根大學(xué)｜代爾夫特理工大學(xué)｜香港中文大學(xué)（深圳）｜慕尼黑工業(yè)大學(xué)｜香港中文大學(xué)（深圳）吳保元教授課題組｜香港大學(xué)計(jì)算系NLP實(shí)驗(yàn)室｜南洋理工大學(xué)｜阿爾伯塔大學(xué)｜北京大學(xué)智能計(jì)算與感知實(shí)驗(yàn)室｜普林斯頓大學(xué)｜麥吉爾大學(xué)智能自動(dòng)化實(shí)驗(yàn)室｜香港中文大學(xué)LaVi實(shí)驗(yàn)室｜悉尼科技大學(xué)｜北京大學(xué)段凌宇教授課題組｜英屬哥倫比亞大學(xué)｜慕尼黑工業(yè)大學(xué)｜賓州州立大學(xué)｜香港科技大學(xué)｜香港中文大學(xué)AIoT實(shí)驗(yàn)室｜北京大學(xué)崔斌教授組｜香港大學(xué)趙恒爽助理教授｜澳門大學(xué)吳曉偉助理教授｜香港大學(xué)韓鍇課題組｜悉尼科技大學(xué)｜清華大學(xué)NLP實(shí)驗(yàn)室｜北京大學(xué)智慧城市與大數(shù)據(jù)小組｜北京大學(xué)林亦波老師課題組｜阿姆斯特丹大學(xué)

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