Tag-arkiv: KTH

Doctoral students (licenciate) in Time-Critical Networked Systems


KTH Royal Institute of Technology

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: Information and Communication Technology

As a doctoral student you will be conducting research in a larger project titled “Time-Critical Clouds” with researchers both from KTH Royal Institute of Technology and RISE (Research Institutes of Sweden). In this project, we seek to ensure latency bounds of key building blocks (e.g., geo-distributed key-value stores) that are used for important societal services (for example, Intelligent Transportation Systems). Your work will entail design, implementation, and evaluation of networked systems for time-critical cloud-based services and networks.

You will be part of the Network Systems Laboratory (NSLab), supervised by Professor Dejan Kostic (https://people.kth.se/~dejanko/) and Assistant Professor Marco Chiesa (https://people.kth.se/~mchiesa/). In addition to your doctoral studies leading to a licentiate, you will be expected to teach or perform other department duties up to 20% of full-time.

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.

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.

A successful candidate needs to have: (1) a strong background in distributed systems, networking, programming, and operating systems, (2) excellent knowledge of written and spoken English

Target degree: Licenciate degree

A Degree of Licentiate has less extensive requirements than a Doctoral Degree and can normally be obtained after two years of completed studies within one of KTH’s  third-cycle subjects. The Degree of Licentiate corresponds to 120 ECTS credits and consists of courses (the amount depending on the third-cycle subject, but with a minimum of 30 ECTS credits), research work and a licentiate thesis.

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 and may thereafter be extended. Doctoral students 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 information

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 employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAccording to agreement
SalaryMonthly salary according to KTH’s doctoral student salary agreement
Number of positions2
Working hours100%
CityStockholm
CountyStockholms län
CountrySweden
Reference numberJ-2018-2831
ContactDejan Kostic, Professor, dmk@kth.se
HR Officer, rekrytering@eecs.kth.se
Last application date15.Apr.2019 11:59 PM CET

Read the job description at the university homepage

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Post expires on Monday April 15th, 2019

Postdoc in Distributed Systems / Data Science Systems


KTH Royal Institute of Technology

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

The division of Software and Computer Systems at the Department of Computer Science, KTH, is looking for excellent candidates for two postdoctoral positions in the area that lies at the intersection of distributed systems, data science, data intensive computing, machine learning and deep learning.   The selected candidates are expected to have a strong background and passionate interest in topics of at least two of aforementioned areas.

The advertised postdoctoral positions are mainly within the following two projects: (1) Horizon 2020 EU-Project “ExtremeEarth: From Copernicus Big Data to Extreme Earth Analytics” (http://earthanalytics.eu/) that aims at developing scalable Extreme Earth Analytics techniques and technologies for extracting information and knowledge out of the petabytes of Copernicus data collected in the European Copernicus program for monitoring the Earth; (2) “CDA: Continuous Deep Analytics” that aims at development of the foundations for data programming systems following two main avenues of research: (i) Algorithms, programming Languages and optimization for continuous analytics on data streams such as time-varying relational models, linear algebra and dynamic graphs ; (ii) Distributed Runtime for complex and fast hardware-accelerated (GPUs, FPGAs) as well as data-parallel processing on data streams with large state.

Within the “ExtremeEarth: From Copernicus Big Data to Extreme Earth Analytics” project, one postdoc, together with PhD students from KTH and researchers from RISE SICS, and Logical Clocks AB, will contribute to development of novel and enhancement of existing techniques, methods and algorithms for scalable big data analysis, as well as to building and enhancing a platform for Data Science and Data Engineering, such as Hopsworks, in order to provide system support for scalable big data analytics and to offer unprecedented scalability to extreme data volumes and scale-out distributed deep learning for Copernicus data.

Within the “CDA: Continuous Deep Analytics” project, the second postdoc will join a strong team of senior researchers, PhD students and research engineers in software systems in order to contribute to the fundamental design and development of next-generation open-source software for data analytics. As a member of the CDA team, the postdoc is expected to acquire deeper knowledge in distributed system technology, grasp fundamental problems and learn to find elegant solutions as well as putting into use and evolving further programming skills and background in data management, ML or programming languages. The group has regular discussion meetings and frequent interactions with other leading universities as well as a clear vision and high publication quality, aiming only for top-tier venues in the field (e.g., USENIX, VLDB, SIGMOD, PLDI).

Qualifications

Applicants must hold or be about to receive a doctoral degree in Computer Science (or equivalent). The doctoral degree must have been obtained within the last three years from the application deadline (some exceptions for special grounds, for instance sick leave and parental leave). The candidate should have a strong background from at least two of the areas distributed systems, data science, data intensive computing, machine learning and deep learning.   The successful applicant should have an outstanding research and publication record in at least two of the aforementioned research areas as well as experience in developing systems and applications. Strong skills in modern Machine Learning and data-intensive computing frameworks (e.g., TensorFlow, Keras, Apache Spark, Apache Flink) is a requirement. Track record in contributing to Open-Source is a plus. Well-developed analytical and problem solving skills are a requirement. We are looking for a strongly motivated person, who is able to work independently as well as in an international research team. The applicant should have a well-established international research collaboration network as should be indicated by visits, guest talks or internships outside applicant’s home institutions. The applicant should also have a track record in being a reviewer of reputed international conferences or journals. Good command of English orally and in writing is required to present and publish research results.

Trade union representatives

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

Application

The application should contain the following:

  1. CV including relevant professional experience and knowledge.
  2. Copies of diplomas and grades from your previous university studies. Translations to English or Swedish if the original documents are not issued in one of these languages.
  3. A research statement on why you want to conduct research in areas of Distributed and Data Science Systems, about your academic interests and how they relate to your previous studies and future goals; max 2 pages long.
  4. Representative publications or technical reports: Document no more than 10 pages each. For longer documents (eg dissertations), attach a summary (abstract) and a web link to the full text.
  5. Two recommendation letters
  6. Contact information for two reference persons. We reserve the right to contact references only for selected candidates.

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).

Others

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 employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentEnligt ö.k
SalaryMonthly salary
Number of positions2
Working hours100%
CityStockholm
CountyStockholms län
CountrySweden
Reference numberJ-2019-0492
ContactSeif Haridi, +46 8 790 41 22 Tysse Norlindh Falk, +46 8 790 60 00
Vladimir Vlassov, +46 8 790 41 15
Last application date15.Apr.2019 11:59 PM CET

Read the job description at the university homepage

Login and apply

Post expires on Monday April 15th, 2019

Post-doctoral researcher in Endovascular Microtechnologies


KTH Royal Institute of Technology

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.

The recently started research centre MedTechLabs is a collaboration between KTH Royal Institute of Technology, Karolinska Institutet (KI), and Stockholm County Council (SLL). It aims to generate world-leading, demand-driven research in medical technology that can provide better health care for the county’s inhabitants as well as cost-efficient solutions for health care delivery. This includes providing more efficient and patient-proof diagnostics, therapy and management. Therefore, the focus is primarily on research that is likely to be applicable in a clinical environment within an estimated five-year period. Another aim is to convey and create the conditions for implementing acquired knowledge so that new clinical methods can be spread nationally. Reaching these aims involves a commitment to process-oriented healthcare through cross-disciplinary teamwork in technology and medicine in the Stockholm region. The centre will therefore be located in the BioClinicum in Karolinska University Hospital. Researchers from KI and KTH will work together to develop technology and methods that can be implemented in a clinical setting. For more information about MedTechLabs, see https://www.medtechlabs.se

Job description
We are currently looking for a post-doctoral researcher in the area of endovascular microtechnologies addressing needs related to diagnostic and therapeutic methods. As a researcher in this field you focus on translational science developing and testing advanced microsystems for endovascular use that perform specific functions in in-vivo models. You will work in teams together with doctoral students to develop and prototype new technologies, and lead in-vivo evaluations together with other qualified staff. 

Qualifications
To qualify for the position, you have a doctoral degree in biomedical technology, bioMEMS, experimental integrative medicine or similar. You have experience from preclinical research and in-vivo models as well as technology development. 

Knowledge in micro and nanotechnologies, MEMS, is meritorious but not a requirement. Furthermore, we see that you have a broad network and good knowledge of research, development and industrial activities in the medical technology field. 

We are looking for driven, self-going person who has the motivation and ability to generate new ideas, plan, manage and execute research activities in a multidisciplinary environment. This includes designing and realizing relevant prototypes and conducting relevant experiments in in-vivo models. Consequently, we believe that the suitable candidate is a hand-on person with a broad skill set with certain experience in mentioned areas. 

In addition to the above, we are looking for a person with good verbal as well as written communications skills in English being able to clearly publish results in high-quality scientific journals.

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).

Others

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 employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAs agreement , or as soon as possible
SalaryMonthly salarary
Number of positions1
Working hours100 %
CityStockholm
CountyStockholms län
CountrySweden
Reference numberJ-2019-0087
Contact Niclas Roxhed, Docent, roxhed@kth.se, +46 (8)790 91 43 Göran Stemme, Professor, stemme@kth.se. +46(8)790 77 87 Anna Mård, HR Officer, rekrytering@eecs.kth.se
Last application date16.Mar.2019 11:59 PM CET

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Read the job description at the university homepage

Post expires on Saturday March 16th, 2019

Postdoc in hybrid control of multi-robot systems


KTH Royal Institute of Technology

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.

The Division of Decision and Control Systems at the School of Electrical Engineering and Computer Science of KTH, conducts research in networked control systems, robotics, control of communication systems, systems biology and system identification. Much of the research is conducted within EU projects, as well as within the inter-departmental centers CAS and ACCESS Linnaeus Centre. The group has also strong financial support from the Swedish Foundation for Strategic Research, the Knut & Alice Wallenberg Foundation and the Swedish Research Council.

Job description
We invite applications for up to two postdoctoral research positions in the general field of hybrid control for robotic systems. The successful candidates will join a research group that is focusing on new control design methodologies for hybrid systems combining tools from control theory, reinforcement learning and formal verification methodologies from computer science. The positions are associated with the following sub-topics:

Distributed control synthesis from temporal logic specifications: develop control design tools for multi-agent systems to fulfill specifications given as temporal logic formulas from formal verification. In order to combine distributed control with formal methods, discrete abstractions of the distributed multi-agent system should be derived and agent dependencies should be accounted for.

Human-in-the-loop robot control: A hybrid systems approach to the problem is considered where the human provides logical specifications to the robotic system that are translated to continuous control commands. The interaction is bidirectional in the sense that the human should update the input specification and the robotic system should adapt its feedback control in a real-time manner using reinforcement learning approaches.

Multi-robot coordination and manipulation: develop control and task planning methodologies for heterogeneous multi-robot systems with different motion and manipulation capabilities. The robots may have different dynamics, state and input constraints and might or might not be equipped with manipulators for grasping and transportation objectives.

Event-triggered control of multi-agent systems: develop distributed event-driven strategies for resource-efficient control and coordination of multi-agent systems. The dynamics of each agent may be modeled by a nonlinear dynamical system with limited control and communication capabilities.

It is expected that the successful candidate will conduct research in the aforementioned research area, interact with doctoral and master students, and be involved in collaborative work in national and international projects.

Qualifications
Applicants must hold or be about to receive a doctoral degree in EE or CS (or equivalent). The doctoral degree must have been obtained within the last three years from the application deadline (some exceptions for special grounds, for instance sick leave and parental leave). The candidates should have a strong background from at least one of the areas

– Hybrid control systems 

– Event-triggered control of multi-agent systems

– Distributed multi-robot control

– Formal methods for robot control synthesis

– Learning-based multi-robot control.

In addition, previous participation in EU project research and management, proposal writing skills, as well as experience with real robotic platforms will be considered a merit.

The successful applicant should have an outstanding research and publication record. Well-developed analytical and problem solving skills are a requirement. We are looking for a strongly motivated person, who is able to work independently, as well as within a research group. Excellent command of English orally and in writing is required.

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

Application
The application should contain the following:

  1. Full curriculum vitae including your relevant academic and professional experience.
  2. List of publications indicating and providing links to five of them that are most relevant to the position.
  3. Research statement, also in relation to the position, maximum 2 pages long.
  4. Contact information for two professional references.

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).

Others
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 employmentPermanent position
Contract typeFull time
First day of employmentEnligt överenskommelse
SalaryMånadslön
Number of positions2
Working hours100 %
CityStockholm
CountyStockholms län
CountrySweden
Reference numberJ-2019-0449
ContactFelicia Gustafsson, HR Administratör, rekrytering@eecs.kth.se
Dimos Dimarogonas, Professor, dimos@kth.se
Last application date15.Mar.2019 11:59 PM CET

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Read the job description at the university homepage

Post expires on Friday March 15th, 2019

Postdoc in Deep Learning based Reconstruction for Spectral-CT

KTH Royal Institute of Technology, School of Engineering Sciences

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

The research group in Mathematical Imaging within the Department of Mathematics is offering a two-year postdoctoral fellowship based on a grant from the applied mathematics programme at the Swedish Foundation for Strategic Research.

The position is part of a larger medical imaging project where the overall goal is to develop theory and algorithms for image reconstruction applicable to x-ray based medical imaging with under-sampled and/or highly noisy data. Overall clinical goals are to significantly reduce the total dose of x-rays and/or acquisition time while maintaining a clinically useful image quality, alternatively to significantly improve image quality given a fixed total dose/acquisition time. Imaging modalities involved are 3D spiral/helical computed tomography (CT), 3D spatiotemporal SPECT/CT and PET/CT, C-arm 3D-CT, and spectral-CT. The project also involves applications to x-ray and electron microscopy phase contrast imaging.

The position includes research into theory and development of algorithms that use methods from machine learning for image reconstruction in spectral-CT. The work also includes implementation of algorithms that can be applied to clinical data from stroke and/or oncological imaging. A key element is to design deep neural network architectures for image reconstruction that incorporate an explicit physics model for how data is generated in spectral-CT as well as a statistical characterization of the noise. Another key element is to handle multichannel data and images, especially bearing in mind the limited memory in GPU-hardware. The large-scale nature of the reconstruction problem in spectral-CT coupled with the time-critical nature of some of its clinical applications, requires algorithms that not only execute fast but also minimizes memory footprint. Prototype algorithms will be implemented as software components in ODL (http://github.com/odlgroup/odl) using a suitable deep learning framework, like TensorFlow, as back-end. ODL is a Python-based software framework for numerical functional analysis that the research group in Mathematical Imaging uses for prototyping.

Much of the research will be pursued at MedTechLabs (https://www.medtechlabs.se) and at the Medical Imaging group at the Department of Physics, KTH. The group, which is led by Prof. Mats Danielsson, has developed novel photon-counting silicon strip detectors for clinical CT-scanners that are now entering tests in a clinical setting at MedTechLabs.

This is a unique opportunity to pursue mathematical and algorithmic research to address challenges that arise when photon counting spectral-CT imaging is used in a clinical setting. As a postdoctoral fellow, you will have access to unique clinical data and from one of the first clinical spectral-CT scanners. You will also benefit from the strong research environments at KTH in mathematical sciences and medical imaging physics. Finally, through MedTechLabs you also gain access the essential clinical expertise.

Qualifications

We seek a candidate with a PhD degree in mathematics, signal processing or computational physics/engineering that has been awarded (or planned to be awarded) before the commencement of the position. The candidate should have a strong background from machine learning or signal/image processing, the latter preferably in the context of tomographic image reconstruction. Experience from computational harmonic analysis, functional analysis, and statistical learning is highly beneficial. The candidate should also have experience from software development in scientific computing, preferably using Python and/or C/C++ in the context of machine learning. Finally, a successful applicant must be strongly motivated and have the capability to work independently as well as in collaboration with members of the research group. 

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).

Others

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 employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAugust 15, 2019 or according to agreement
SalaryMonthly salary
Number of positions1
Working hours100%
CityStockholm
CountyStockholms län
CountrySweden
Reference numberS-2018-1829
Contact Ozan Öktem, +46 8 790 66 06, ozan@kth.se
Last application date01.Mar.2019 11:59 PM CET

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Read the job description at the university homepage

Post expires on Friday March 1st, 2019

Doctoral students Decentralized Data Mining & Information Network Analytics

KTH Royal Institute of Technology

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: Information and Communication Technology

The positions are funded by the European Commission under an ambitious, 4-year, 3.7 million EUR Marie Curie Initial Training Network (ITN) project RAIS (Real-Time Analytics for the Internet of Sports) for which KTH is the coordinator. The project focuses on the design of decentralized, scalable and secure collective awareness platforms for real-time data analytics and machine learning, which preserve end-user privacy and information ownership targeted at the sport applications. The RAIS consortium aspires to establish a fertile multidisciplinary research and innovation community with strong entrepreneurial culture that will advance wearable sport-sensing and quantified-self devices and accompanying middleware.

In particular, the students at KTH will conduct original research in the intersection of the areas of Decentralized Machine Learning, Data Mining, Information Network Analysis as well as work on design and implementation of decentralized systems for the project. The students will have a chance to collaborate and perform secondments at RAIS partner universities and companies in Cyprus, Greece, Italy, Sweden, UK and USA.

The students are expected to contribute actively to the activities planned by the project (scientific publications, taking courses, secondments, participation to meetings and events, preparation of educational material, coordination of work, etc.).

You will be part of the SCS (Software and Communication Systems) department, with your studies supervised by Associate Professor Sarunas Girdzijauskas.    

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.
  • Possibilities of several (up to) 2-month long internships at partner universities and companies in Cyprus, Greece, Italy, Sweden, UK and USA.

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.

At the time of recruitment, the applicants must have less than 4 years of full-time research experience after obtaining their degree and must not have resided or carried out their main activity (work, studies, etc.) in Sweden for more than 12 months in the prior three years.

Students in their final year of Master education may also apply and if qualified, receive a conditional offer. If the applicant has not completed her studies, she should include a written statement from the degree administration office (or equivalent department), confirming that she is enrolled on the final year of her education and stating the expected completion date. If the applicant receives a conditional offer, the candidate should present the degree certificate before enrollment.

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.
  • fluency in English (both oral and written).

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 and may thereafter be extended. Doctoral students 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 information

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 employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAccording to agreement
SalaryMonthly salary according to KTH’s doctoral student salary agreement
Number of positions3
Working hours100%
CityKista
CountyStockholms län
CountrySweden
Reference numberJ-2018-2886
Contact Sarunas Girdzijauskas, , sarunasg@kth.se
Last application date01.Mar.2019 11:59 PM CET

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Read the job description at the university homepage

Post expires on Friday March 1st, 2019