Naver Labs Europe (Grenoble, France) is looking for a motivated researcher to join, at a post-doctoral level, a project on Personalised News Recommendation. This project aims at improving the user engagement in a currently deployed system, by better capturing volatile user interests, while ensuring fairness and avoiding information polarisation (aka filter bubble).
The selected candidate will perform her/his work inside the Natural Language Processing team, interacting with scientists from the team, the centre and colleagues in Korea.
Requirements:
- Knowledge of latest developments in context-aware sequential recommendation.
- Good publication record in top-tier information retrieval or machine learning conferences.
- Strong development skills, preferably in Python and knowledge of deep learning frameworks (preferably Pytorch or Keras)
Starting Date and Duration:
As soon as possible - 12 Months
Application Instructions:
Informal inquiries can be made to jean-michel.renders@naverlabs.com.
To apply, please send your CV, cover letter as well as the names of at least two references to matthias.galle@naverlabs.com, jean-michel.renders@naverlabs.com and dl_candidates@naverlabs.com.
NAVER LABS Europe's mission is to advance the state-of-the-art in Ambient Intelligence, while paving the way for these innovations into a number of NAVER flagship products and services. This includes research in models and algorithms to give humans faster and better access to data and to allow them to interact with technology in simpler and more natural ways. NAVER LABS Europe has positions, Ph.D and PostDoc opportunities throughout the year which are advertised here and on international conference sites that we sponsor such as CVPR, ICCV, NIPS, EMNLP etc.
The Labs are in Grenoble in the French Alps. We have a multi and interdisciplinary approach to research with scientists in machine learning, computer vision, artificial intelligence, data analytics, natural language processing, ethnography and UX working together to create next generation ambient intelligence technology and services that deeply understand users and their contexts.
More details on:
http://www.europe.naverlabs.com/NAVER-LABS-Europe/Jobs/Researcher-for-News-Recommendation
✔ @ApplyTime
The selected candidate will perform her/his work inside the Natural Language Processing team, interacting with scientists from the team, the centre and colleagues in Korea.
Requirements:
- Knowledge of latest developments in context-aware sequential recommendation.
- Good publication record in top-tier information retrieval or machine learning conferences.
- Strong development skills, preferably in Python and knowledge of deep learning frameworks (preferably Pytorch or Keras)
Starting Date and Duration:
As soon as possible - 12 Months
Application Instructions:
Informal inquiries can be made to jean-michel.renders@naverlabs.com.
To apply, please send your CV, cover letter as well as the names of at least two references to matthias.galle@naverlabs.com, jean-michel.renders@naverlabs.com and dl_candidates@naverlabs.com.
NAVER LABS Europe's mission is to advance the state-of-the-art in Ambient Intelligence, while paving the way for these innovations into a number of NAVER flagship products and services. This includes research in models and algorithms to give humans faster and better access to data and to allow them to interact with technology in simpler and more natural ways. NAVER LABS Europe has positions, Ph.D and PostDoc opportunities throughout the year which are advertised here and on international conference sites that we sponsor such as CVPR, ICCV, NIPS, EMNLP etc.
The Labs are in Grenoble in the French Alps. We have a multi and interdisciplinary approach to research with scientists in machine learning, computer vision, artificial intelligence, data analytics, natural language processing, ethnography and UX working together to create next generation ambient intelligence technology and services that deeply understand users and their contexts.
More details on:
http://www.europe.naverlabs.com/NAVER-LABS-Europe/Jobs/Researcher-for-News-Recommendation
✔ @ApplyTime
Naverlabs
NAVER LABS
네이버랩스는 한국과 유럽의 우수한 연구자들이 함께 AI, 로보틱스, 자율주행, 3D/HD 매핑, AR 등의 연구에 매진하고 있습니다. 가장 독창적이며 앞선 기술력을 통해 사람, 머신, 공간, 정보를 새롭게 연결할 네이버 플랫폼의 미래를 준비하는 것이 우리의 미션입니다.
The Idiap Research Institute seeks qualified candidates for two PhD student position in the field of natural language understanding, developing deep learning methods for textual entailment and opinion summarisation.
The research will be conducted in the framework of the Swiss NSF funded project Learning Representations of Abstraction for Opinion Summarisation. One of the successful candidates will investigate modelling abstraction relationships between texts (textual entailment), and the other will investigate summarising large collections of opinions (opinion summarisation). Opinion summarisation must abstract away from the details of individual opinions to find consensus statements which are entailed by a significant proportion of opinions.
This project will model these natural language understanding tasks through fundamental advances in representation learning and deep learning architectures. The work will start from Dr. Henderson's work on modelling abstraction in deep learning architectures, where learned vectors represent entailment rather than the usual similarity. Successes in the unsupervised learning of word vectors for entailment will be extended to deep learning architectures for the compositional semantics of texts. Methods for finding the intersection of information in vectors will be extended to clustering texts by their shared content and generating abstract summaries.
The ideal PhD candidate should hold a Master degree in computer science, computational linguistics or related fields. She or he should have a background in machine learning, optimisation, or natural language processing. The applicant should also have strong programming skills.
The successful PhD candidates will join the Natural Language Understanding group at Idiap, under the supervision of Dr. James Henderson. They will also become doctoral students at EPFL (http://www.epfl.ch) conditional on parallel application to, and acceptance by, the EPFL Doctoral School (http://phd.epfl.ch/applicants). Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 47,000 Swiss Francs (first year) to 50,000 Swiss Francs (last year). Starting date is to be negotiated, within 2018. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson@idiap.ch).
Please apply online here:
http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7BTO%3D%27detail%27%3BPK%3D%2710241%27%7D
Sincerely,
- James Henderson
james.henderson@idiap.ch
✔ @ApplyTime
The research will be conducted in the framework of the Swiss NSF funded project Learning Representations of Abstraction for Opinion Summarisation. One of the successful candidates will investigate modelling abstraction relationships between texts (textual entailment), and the other will investigate summarising large collections of opinions (opinion summarisation). Opinion summarisation must abstract away from the details of individual opinions to find consensus statements which are entailed by a significant proportion of opinions.
This project will model these natural language understanding tasks through fundamental advances in representation learning and deep learning architectures. The work will start from Dr. Henderson's work on modelling abstraction in deep learning architectures, where learned vectors represent entailment rather than the usual similarity. Successes in the unsupervised learning of word vectors for entailment will be extended to deep learning architectures for the compositional semantics of texts. Methods for finding the intersection of information in vectors will be extended to clustering texts by their shared content and generating abstract summaries.
The ideal PhD candidate should hold a Master degree in computer science, computational linguistics or related fields. She or he should have a background in machine learning, optimisation, or natural language processing. The applicant should also have strong programming skills.
The successful PhD candidates will join the Natural Language Understanding group at Idiap, under the supervision of Dr. James Henderson. They will also become doctoral students at EPFL (http://www.epfl.ch) conditional on parallel application to, and acceptance by, the EPFL Doctoral School (http://phd.epfl.ch/applicants). Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 47,000 Swiss Francs (first year) to 50,000 Swiss Francs (last year). Starting date is to be negotiated, within 2018. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson@idiap.ch).
Please apply online here:
http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7BTO%3D%27detail%27%3BPK%3D%2710241%27%7D
Sincerely,
- James Henderson
james.henderson@idiap.ch
✔ @ApplyTime
The 2nd International Workshop on Search-Oriented Conversational AI (SCAI)
at EMNLP 2018, Brussels, Belgium 🇧🇪, October 31 or November 1
http://scai.info
✔️ @ApplyTime
at EMNLP 2018, Brussels, Belgium 🇧🇪, October 31 or November 1
http://scai.info
✔️ @ApplyTime
24th International Symposium on Methodologies for
Intelligent Systems (ISMIS 2018)
St. Raphael Resort, Limassol, Cyprus, 29-31 October, 2018
http://www.cyprusconferences.org/ismis2018
✔️ @ApplyTime
Intelligent Systems (ISMIS 2018)
St. Raphael Resort, Limassol, Cyprus, 29-31 October, 2018
http://www.cyprusconferences.org/ismis2018
✔️ @ApplyTime
MIT-Harvard Medical School Healthcare Innovation Bootcamp
Cambridge, MA | August 12 - 17, 2018
https://goo.gl/Kh1Jti
✔️ @ApplyTime
Cambridge, MA | August 12 - 17, 2018
https://goo.gl/Kh1Jti
✔️ @ApplyTime
In memory of Prof. Lotfi A. Zadeh (Feb 4, 1921 - Sep 6, 2017)
father of fuzzy sets and of fuzzy logic
12th International Workshop on Fuzzy Logic and Applications
Santa Margherita Ligure (Italy) - September 6-8, 2018
📎 https://sites.google.com/site/wilf2018fuzzy/home
✔ @ApplyTime
father of fuzzy sets and of fuzzy logic
12th International Workshop on Fuzzy Logic and Applications
Santa Margherita Ligure (Italy) - September 6-8, 2018
📎 https://sites.google.com/site/wilf2018fuzzy/home
✔ @ApplyTime
Google
12th WILF 6-7 Sep 2018
Forwarded from Apply Time Positions
Harnessing a cancer patient’s immune system to fight their disease is a promising new frontier in cancer treatment. Our multi-site machine learning group is collaborating with experts in cancer immunotherapy at several leading cancer centers and universities (https://www.standuptocancer.org/press_release/view/Convergence_Teams_Microsoft). Our goal is to figure out how to better target therapies to patients by learning from biomedical data. We have an open RA position starting immediately. This is a contract position through June 30, 2019, with potential to extend. The position is ideal for a recent undergraduate or M. Eng student wishing to gain research experience prior to pursuing a Ph.D. Interviews will start immediately.
https://www.microsoft.com/en-us/research/publication/cancer-immunotherapy-machine-learning-research-assistant-job-denoscription/
✔ @ApplyTime
https://www.microsoft.com/en-us/research/publication/cancer-immunotherapy-machine-learning-research-assistant-job-denoscription/
✔ @ApplyTime
Stand Up To Cancer
Stand Up To Cancer - Home
Stand Up To Cancer funds the newest and most promising cancer treatments to help patients. Learn about our efforts to make every cancer patient a survivor.
دوستان عزیز،
اپلایتایم در اینستاگرام پیج فعالی ندارد. تنها پیج ما در اینستاگرام پیج غیرفعال زیر است:
https://www.instagram.com/applytime.ir/
در حال حاضر قصد هم نداریم که به غیر از تلگرام روی اپ دیگری فعالیت کنیم، مگر زمانی که اپ بهتری در مقایسه با تلگرام از نظر فنی، امنیتی، قابلیت اطمینان، سرعت و سایر پارامترهای مهم یافت شود. در حال حاضر در مقایسه با اپهای موجود از نگاه کلی این اپ را بهتر از همگان ارزیابی میکنیم. اتفاقات روزهای اخیر در روسیه نیز نشان داد که این اپ از لحاظ زیرساخت فنی بسیار قوی بوده و مهمتر اینکه از نظر امنیتی نیز میتوان به خوبی به آن اعتماد کرد.
نکتهی مهمی که در اینجا خالی از لطف نیست که بدان اشاره کنیم به شخصیت مدیر تلگرام - پاول دورف - مربوط میشود. او در برابر پول و زور سر خم نکرد. ما او را از نزدیک نمیشناسیم و شناخت ما از او در اندازهی همین خبرهایی است که از او میشنویم. در نتیجه معیار قضاوتمان نیز همین است. با این معیار، شخصیت ایشان ستودنی است؛ که خود دلیل دیگری بر علاقهمندی ما به تلگرام است.
در مورد پیج اینستاگرام، تا زمانی که تلگرام را بتوان در ایران استفاده کرد (که احتمالا بشود استفاده کرد!)، نیازی به دنبال کردن پیج اینستاگرام ما ندارید. اما در صورتی که تلگرام کاملا از دسترس خارج شد (که بعید به نظر میرسد!)، و همچنان علاقهمند بودید که با اپلایتایم همراه باشید، میتوانید ما را در اینستاگرام دنبال کنید تا در صورت نیاز در آنجا باهم همراه باشیم.
پلهای ارتباطی دیگر، وبسایت اپلایتایم و جیمیل میباشند:
ApplyTime.ir
ApplyTime.ir@gmail.com
نکتهی پایانی اینکه، اپلایتایم در هیچ پیامرسان دیگری غیر از تلگرام هیچگونه کانالی ندارند.
به امید آزادی اینترنت و آزادی ِ آزادی.
ارادتمند شما،
✔️ @ApplyTime
اپلایتایم در اینستاگرام پیج فعالی ندارد. تنها پیج ما در اینستاگرام پیج غیرفعال زیر است:
https://www.instagram.com/applytime.ir/
در حال حاضر قصد هم نداریم که به غیر از تلگرام روی اپ دیگری فعالیت کنیم، مگر زمانی که اپ بهتری در مقایسه با تلگرام از نظر فنی، امنیتی، قابلیت اطمینان، سرعت و سایر پارامترهای مهم یافت شود. در حال حاضر در مقایسه با اپهای موجود از نگاه کلی این اپ را بهتر از همگان ارزیابی میکنیم. اتفاقات روزهای اخیر در روسیه نیز نشان داد که این اپ از لحاظ زیرساخت فنی بسیار قوی بوده و مهمتر اینکه از نظر امنیتی نیز میتوان به خوبی به آن اعتماد کرد.
نکتهی مهمی که در اینجا خالی از لطف نیست که بدان اشاره کنیم به شخصیت مدیر تلگرام - پاول دورف - مربوط میشود. او در برابر پول و زور سر خم نکرد. ما او را از نزدیک نمیشناسیم و شناخت ما از او در اندازهی همین خبرهایی است که از او میشنویم. در نتیجه معیار قضاوتمان نیز همین است. با این معیار، شخصیت ایشان ستودنی است؛ که خود دلیل دیگری بر علاقهمندی ما به تلگرام است.
در مورد پیج اینستاگرام، تا زمانی که تلگرام را بتوان در ایران استفاده کرد (که احتمالا بشود استفاده کرد!)، نیازی به دنبال کردن پیج اینستاگرام ما ندارید. اما در صورتی که تلگرام کاملا از دسترس خارج شد (که بعید به نظر میرسد!)، و همچنان علاقهمند بودید که با اپلایتایم همراه باشید، میتوانید ما را در اینستاگرام دنبال کنید تا در صورت نیاز در آنجا باهم همراه باشیم.
پلهای ارتباطی دیگر، وبسایت اپلایتایم و جیمیل میباشند:
ApplyTime.ir
ApplyTime.ir@gmail.com
نکتهی پایانی اینکه، اپلایتایم در هیچ پیامرسان دیگری غیر از تلگرام هیچگونه کانالی ندارند.
به امید آزادی اینترنت و آزادی ِ آزادی.
ارادتمند شما،
✔️ @ApplyTime
روز کارگران، روز زحمتکشان، روز چرخانندگان موتور اقتصاد کشور - روز لای چرخدندهی همان موتورها گیر افتادگان! - روز حقوق نگرفتگان، روز کولبران، روز باتوم خوردگان و به زندان افتادگان، روز در معدن حبسشدگان، روز اخراج شدگان، روز با سیلی صورت خویش سرخ نگاهدارندگان، بر تمامی کارگران بینان مبارک (!) باد!
1st IEEE Data Science Workshop
4-6 June, Lausanne, Switzerland
https://2018.ieeedatascience.org/
We are calling for participation in the 1st IEEE Data Science Workshop, themed around several topic topics:
Computational models and representation for data science
Visualization, summarization, and analytics
Acquisition, storage, and retrieval for large-scale data science
Learning, modeling, and inference with data
Data science process and principles
Data science education
دانشجویان علاقهمند به شرکت در این کارگاه با ما در ارتباط باشند:
✔️ @ApplyTime
4-6 June, Lausanne, Switzerland
https://2018.ieeedatascience.org/
We are calling for participation in the 1st IEEE Data Science Workshop, themed around several topic topics:
Computational models and representation for data science
Visualization, summarization, and analytics
Acquisition, storage, and retrieval for large-scale data science
Learning, modeling, and inference with data
Data science process and principles
Data science education
دانشجویان علاقهمند به شرکت در این کارگاه با ما در ارتباط باشند:
✔️ @ApplyTime
COGNITIVE VISION
— Integrated Vision and AI for Embodied Perception and Interaction
Workshop Chairs: Mehul Bhatt, Alessandra Russo, Parisa Kordjamshidi
The 27th International Joint Conference on Artificial Intelligence and
the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI)
IJCAI-ECAI 2018 / Stockholm, Sweden
www.codesign-lab.org/faim18-cogvis
✔ @ApplyTime
— Integrated Vision and AI for Embodied Perception and Interaction
Workshop Chairs: Mehul Bhatt, Alessandra Russo, Parisa Kordjamshidi
The 27th International Joint Conference on Artificial Intelligence and
the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI)
IJCAI-ECAI 2018 / Stockholm, Sweden
www.codesign-lab.org/faim18-cogvis
✔ @ApplyTime
Apply Time pinned «دوستان عزیز، اپلایتایم در اینستاگرام پیج فعالی ندارد. تنها پیج ما در اینستاگرام پیج غیرفعال زیر است: https://www.instagram.com/applytime.ir/ در حال حاضر قصد هم نداریم که به غیر از تلگرام روی اپ دیگری فعالیت کنیم، مگر زمانی که اپ بهتری در مقایسه با تلگرام…»
Two postdoctoral fellow positions specializing in machine learning and signal processing for applications in Critical Care Medicine is available in Point of Care Analytics Lab at the University of Tennessee Health Science Center–Oak Ridge National Lab’s Center for Biomedical Informatics. Point of Care Analytics (PCA) is a laboratory for innovation at the intersection of deep learning, signal processing, medical science, and systems design. PoCA develops novel and impactful applications and algorithms that can be used to predict abnormal medical conditions before they show clinical signs at the bed-side.
A successful applicant must have a Ph.D. of high standing in a relevant discipline (e.g. Computer Science, Electrical Engineering, Medical Informatics, etc.) within the last five years and a strong research track record. Strong programming and communication skills are required. Prior experience in Convolutional Neural Network, Recurrent Neural Networks, or real-time signal processing would be a strong asset.
Interested applicants, please send CV, publication list to:
Dr. Rishikesan Kamaleswaran (rkamales@uthsc.edu).
Review of applications starts immediately and will continue until the position is filled.
✔️ @ApplyTime
A successful applicant must have a Ph.D. of high standing in a relevant discipline (e.g. Computer Science, Electrical Engineering, Medical Informatics, etc.) within the last five years and a strong research track record. Strong programming and communication skills are required. Prior experience in Convolutional Neural Network, Recurrent Neural Networks, or real-time signal processing would be a strong asset.
Interested applicants, please send CV, publication list to:
Dr. Rishikesan Kamaleswaran (rkamales@uthsc.edu).
Review of applications starts immediately and will continue until the position is filled.
✔️ @ApplyTime
NEC Labs Europe's SysML (Systems and Machine Learning) group is looking for a highly motivated Early Stage Researcher (ESR) who is interested in performing cutting-edge machine learning research with real-world impact. The position is part of the Innovative Training Network (ITN) ECOLE funded under the EU H2020 Marie Skłodowska-Curie Actions. ECOLE is comprised of academic and industrial partners from the UK, the Netherlands, and Germany.
ECOLE topic is research at the intersection of machine learning and optimization technologies to address new industrial challenges. The successful candidate will work on novel methods at the intersection of deep learning and statistical machine learning for analyzing complex data, in particular graph data and multimodal data. The ESR will take part in doctoral training program, and receive comprehensive support for their doctoral research.
NEC Labs in Heidelberg (Germany) provides an excellent working environment supporting individual creativity as well as strong teamwork. The Marie Skłodowska-Curie programme offers a highly competitive remuneration, including living, mobility and family allowances.
Desired Skills and Experience:
- Excellent Master’s degree in computer science, mathematics, or a related field
- Knowledge and experience of deep learning and statistical machine learning
- Publication record in top machine learning/AI venues (e.g. ICML, NIPS, IJCAI, AAAI, and KDD) would be beneficial
- Programming proficiency in languages such as Python and Java
- Knowledge of deep learning frameworks would be beneficial
- Excellent English language skills
- Excellent communication and team working skills
Mobility rule for MSCA-ITN programme:
Candidates must not have resided or carried out their main activity (work, studies, etc.) in Germany for more than 12 months in the 3 years immediately before the recruitment date.
Please send your application by June 30 2018 electronically via the applications web system http://www.neclab.eu/jobs/ with reference to [1804-289-SML].
✔ @ApplyTime
ECOLE topic is research at the intersection of machine learning and optimization technologies to address new industrial challenges. The successful candidate will work on novel methods at the intersection of deep learning and statistical machine learning for analyzing complex data, in particular graph data and multimodal data. The ESR will take part in doctoral training program, and receive comprehensive support for their doctoral research.
NEC Labs in Heidelberg (Germany) provides an excellent working environment supporting individual creativity as well as strong teamwork. The Marie Skłodowska-Curie programme offers a highly competitive remuneration, including living, mobility and family allowances.
Desired Skills and Experience:
- Excellent Master’s degree in computer science, mathematics, or a related field
- Knowledge and experience of deep learning and statistical machine learning
- Publication record in top machine learning/AI venues (e.g. ICML, NIPS, IJCAI, AAAI, and KDD) would be beneficial
- Programming proficiency in languages such as Python and Java
- Knowledge of deep learning frameworks would be beneficial
- Excellent English language skills
- Excellent communication and team working skills
Mobility rule for MSCA-ITN programme:
Candidates must not have resided or carried out their main activity (work, studies, etc.) in Germany for more than 12 months in the 3 years immediately before the recruitment date.
Please send your application by June 30 2018 electronically via the applications web system http://www.neclab.eu/jobs/ with reference to [1804-289-SML].
✔ @ApplyTime