موقعیت دکترا پردازش زبان طبیعی

موقعیت دکترا در artificial intelligence, natural language processing

موقعیت دکترا در کشور سوئد همراه با فاند

 

Doctoral student in artificial intelligence, natural language processing

 

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

Third-cycle subject: Speech technology or Computer science

We are looking for a PhD student  interested in Artificial Intelligence, Machine Learning, Natural Language Processing and Human-Robot Interaction, that will work in a newly funded project at the Department of Speech, Music and Hearing (www.kth.se/tmh) within the School of Electrical Engineering and Computer Science at KTH. The project is financed by the Swedish AI-program WASP.

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest ever individual research program, a major national initiative for strategically basic research, education and faculty recruitment. The program is initiated and generously funded by the Knut and Alice Wallenberg Foundation (KAW) with 2.6 billion SEK. In addition to this, the program receives support from collaborating industry and from participating universities to form a total budget of 3.5 billion SEK. Major goals are more than 50 new professors and more than 300 new PhDs within AI, Autonomous Systems and Software. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. For more information about the research and other activities conducted within WASP please visit: http://wasp-sweden.org/

The newly started project is called “Robot learning of symbol grounding in multiple contexts through dialog”, and is a collaboration project between KTH and Örebro University.  The aim of the project is to study computational models that allow a robot to learn language through interaction with humans, and to understand the meaning of words in their context (so-called ”symbol grounding”). The position is mainly a research position, with a small fraction of departmental duties (e.g. teaching). Applicants should have a Master degree (or similar) in a subject relevant for the research, such as computer science, artificial intelligence, machine learning, or language technology.

What we offer

The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.

Life-long network through KTH’s Alumni organization.

A personal study plan to support your development within your areas of interest.

A workplace with many employee benefits and monthly salary according to KTH’s doctoral student salary agreement.

Work and study in Stockholm, one of Europe´s fastest growing capitals, which is close to both nature and the sea.

Help to relocate and get settled in Sweden and at KTH.

 

ادامه مطلب:

https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:225194/where:4

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موقعیت دکترا در Deep Learning and Generative Networks

موقعیت دکترا در کشور سوئد همراه با فاند

 

Doctoral student in Deep Learning and Generative Networks

 

 

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

Third-cycle subject: Computer Science

KTH Electrical Engineering and Computer Science (EECS) announces a PhD position for potential projects funded by the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP). More information on the collaborative projects from WASP can be found here: http://wasp-sweden.org/wasp-announces-call-for-collaboration-projects/

The main focus of the research will be on generative deep learning models such as generative adversarial networks (GAN) and variational autoencoders (VAE). We aim to develop novel generative approaches that are capable of producing samples outside of the source domain in a way that appropriately reflects underlying uncertainty. Generative models that can more fully explore the image manifold can be a powerful tool to generate training examples for supervised learning. In reinforcement learning, generative models that incorporate uncertainty can enable efficient exploration of unknown environments without strong prior assumptions.

The research position is a 48 month time-limited position that can be extended up to one year dependant on the inclusion of a maximum of 20% departmental duties, usually teaching. In order to be employed, you must be accepted as a doctoral student at KTH. The starting data is open for discussion, though ideally we would like the successful candidate to start as soon as possible.

What we offer

The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.

Life-long network through KTH’s Alumni organization.

A personal study plan to support your development within your areas of interest.

A workplace with many employee benefits and monthly salary according to KTH’s doctoral student salary agreement.

Work and study in Stockholm, one of Europe´s fastest growing capitals, which is close to both nature and the sea.

Help to relocate and get settled in Sweden and at KTH.

Eligibility

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

passed a degree at advanced level,

completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or

in any other way acquired within or outside the country acquired essentially equivalent knowledge.

The applicant must have a master’s degree in an area such as Computer Science, Electrical Engineering, Informatics or related fields. Documented written and spoken English and programming skills are required. Experience with machine learning and computer vision is an important asset. A strong background in mathematics and strong programming skills are also required.

 

ادامه مطالب:

https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:218559/where:4

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