Tag-arkiv: KTH

Doctoral student in Artificial Intelligence, several areas

KTH, School of Electrical Engineering and Computer Science

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

The school of Electrical Engineering and Computer Science (EECS) announces doctoral positions in several areas of Artificial Intelligence at the Department of Robotics, Perception, and Learning (RPL):

https://www.kth.se/rpl/.

These positions are for potential collaborative projects funded by the Wallenberg Artificial Intelligence, Autonomous Systems, and Software Program (WASP).  More information on collaborative projects in WASP can be found here: http://wasp-sweden.org/wasp-announces-call-for-collaboration-projects/

The scientific work will be conducted within the scope of one of the following collaborative projects:

A. AI for Under Ice Navigation, John Folkesson, Associate Professor (https://www.kth.se/profile/johnf/)

B. Data-Driven Foundations for Robust Deformable Object Manipulation, Florian Pokorny, Assistant Professor (https://www.kth.se/profile/pokorny)

C. Explainable Deep Learning and Deep Transfer Learning, Hossein Azizpour, Assistant Professor (https://www.kth.se/profile/azizpour/)

D. Deep Learning on Language and Vision Analysis, Josephine Sullivan, Associate Professor (https://www.kth.se/profile/sullivan /)

E. Adaptable and Approximate Deep Learning in Computer Vision, and

F. Deep End-to-End Interactive Perception, Atsuto Maki, Associate Professor (https://www.kth.se/profile/atsuto/)

A suitable background for this position would be a Master’s degree in one of the following or related disciplines: Machine Learning, Engineering Physics, Computer Science, Mathematics, or System, Control and Robotics. The successful applicant should have a strong computationally oriented background with well-developed analytical and problem-solving skills: solid programming skills are necessary.

What we offer

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 an advanced level, or
  • in any other way acquired within or outside the country acquired essentially equivalent knowledge.

Selection

In order to succeed as a doctoral student at KTH, you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:

  • ability to independently pursue his or her work,
  • ability to collaborate with others,
  • have a professional approach and
  • analyze and work with complex issues,
  • good command of English, both orally and in writing.

Target degree: Doctoral degree

Information regarding admission and employment

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year. The employment may be extended for a maximum of two years at a time. However, the total period of employment may not exceed the equivalent of four years of full-time study. Decisions on employment as a doctoral student may not be appealed.

Eligibility, selection, and admissions are regulated in KTH’s admission regulations (in Swedish) and the program descriptions and current third-cycle subjects are described on  KTH’s website.

Doctoral students should primarily devote themselves to their own education but may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

Union representatives

You will find contact information for union representatives on KTH’s website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for the doctoral section on the section’s website.

Application

Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

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

Applications must include the following elements:

  • CV including your relevant professional experience and knowledge.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
  • Two references and letters of recommendation if available.
  • Indication of one (or more) project with the order of preference [A-F] if available.

Other

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH’s work with quality as well as core values in our organization.

For information about Processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment 2019-01-01 (at the latest)
Salary Monthly salary according to KTH’s doctoral student salary agreement
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2018-1662
Contact
  • Please send questions to the preferred project , Supervisors stated above [A-F]
  • Sarah Kullgren, HR Officer, sarahku@kth.se
Last application date 18.Sep.2018 11:59 PM CET

Post expires on Tuesday September 18th, 2018

Doctoral student in Deep Learning and Generative Networks

KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science

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

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.

Selection

In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:

  • ability to independently pursue his or hers work,
  • ability to collaborate with others,
  • have a professional approach and
  • analyse and work with complex issues.

Target degree: Doctoral degree

Information regarding admission and employment

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year. The employment may be extended for a maximum of two years at a time. However, the total period of employment may not exceed the equivalent of four years of full-time study. Decisions on employment as a doctoral student may not be appealed.

Eligibility, selection and admissions are regulated in KTH’s admission regulations (in Swedish) and the program descriptions and current third-cycle subjects is described on  KTH’s website.

Doctoral students should primarily devote themselves to their own education, but may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

Union representatives

You will find contact information for union representatives on KTH’s website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section’s website.

Application

Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

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

Applications must include the following elements:

  • CV including your relevant professional experience and knowledge.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH’s work with quality as well as core values in our organization.

For information about Processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary according to KTH’s doctoral student salary agreement
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2018-1642
Contact
  • Kevin Smith / Assistant Professor, ksmith@kth.se
  • Maria Engman / HR Administratör, maengm@kth.se
Last application date 12.Oct.2018 11:59 PM CET

 

Post expires on Friday October 12th, 2018

Doctoral student in optical materials

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.

Job description

In photonics, the capability to tailor the wavelength and spectral properties of laser radiation relies on the ability to structure and engineer the material properties of nonlinear optical materials. This Doctoral student project aims at engineering novel photonic structures in bulk ferroelectric crystals. This is a branching field between material science and optical physics. Engineering of the linear and nonlinear refractive index in the macro- and nano-scale will be the key technology for realization of novel optical devices and components. The project spans from implementation and characterization of photonic devices to fundamental studies of material properties.

The project will be carried out in the laserphysics group, at Albanova University Center. (www.laserphysics.kth.se). The group provides an international and dynamic environment with research areas expanding from optical materials and laser processing to nonlinear optics and laser physics.

The employment is four years with a possibility of maximum up to five years. Up to 20 percent department duties are included in the employment.

Qualifications

A suitable background for this position would be a Master of Science in Physics, Electrical Engineering or Material Science, with a specialization in optics, photonics or laser physics. In addition to the traditional academic merits, a relevant degree project, international experience, and language skills are regarded as advantageous qualifications.

Applicants must be strongly motivated for doctoral studies, possess the ability to work independently and perform critical analysis as well as possessing good levels of cooperative and communicative abilities.

Trade union representatives

You will find contact information to trade union representatives at KTH:s webbpage.

Application

Log into KTH’s recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

The application must contain the following documents in PDF format.

  • Statement of professional interest
  • CV
  • Transcripts from university/university college
  • Example of technical writing, e.g., thesis, essay, course report or scientific paper

Others

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary According to the KTH “student ladder” for doctoral students
Number of positions 1
Working hours 100 %
City Stockholm
County Stockholms län
Country Sweden
Reference number S-2018-0253
Contact
  • Carlota Canalias Gomez, Assoc.professor, +46 70 166 74 77, ccg@kth.se
Last application date 21.Aug.2018 11:59 PM CET

Post expires on Tuesday August 21st, 2018