Tag-arkiv: KTH

Postdoc in Interpretable Machine Learning

Logo for KTH Royal Institute of Technology

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School of Electrical Engineering and Computer Science at KTH

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

Machine learning algorithms are currently being used in many high-stakes decision-making processes, such as in medical and legal applications. In these domains, besides accuracy, machine learning implementations are also subject to requirements on trust, privacy, unbiasedness, interpretability, transparency, and accountability, among others.

This postdoc position will involve the development of machine learning methods that account for these diverse requirements. The work will focus mostly on dynamical systems, and consider, for example, the design of computer-intensive algorithms for optimal estimation of models for such systems, subject to the aforementioned constraints, and the determination of internal models used by agents or controllers acting on a dynamical system, in order to exploit them for learning optimal, interpretable agents.

This postdoc position is part of an interdisciplinary collaborative project, funded by the Strategic Research Environments Digital Futures, which involves KTH, RISE and Stockholm University. The project involves the development of explainable machine learning techniques to analyze healthcare data and provide diagnosis and recommendations of treatments for patients. This goal lies at the intersection of several disciplines, including machine learning (inverse reinforcement learning), time series analysis, privacy and trust (from a legal perspective) and how humans understand and interpret data.

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, within the areas of mathematical systems theory, control, signal processing and/or theoretical machine learning. The degree needs to be obtained within the last three years prior to the application deadline (with some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
  • Research expertise, with strong publication records
  • Strong mathematical skills
  • Collaborative abilities
  • Independence

Preferred qualifications

  • Teaching abilities
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality

Great emphasis will be placed on personal competency.

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.

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.
  • Contact information for three references.

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).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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.

https://youtube.com/watch?v=Sn2hApKmApI%3Frel%3D0
Type of employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAccording to agreement
SalaryMonthly
Number of positions1
Working hours100%
CityStockholm
CountyStockholms län
CountrySweden
Reference numberJ-2021-3098
ContactProfessor Cristian R. Rojas, crro@kth.se Felicia Gustafsson, HR, rekrytering@eecs.kth.se
Published16.Dec.2021
Last application date31.Jan.2022 11:59 PM CET

Read the job description at the university homepage

Login and apply

Post expires on mandag januar 31st, 2022

Postdoc in Network Security

Logo for KTH Royal Institute of Technology

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School of Electrical Engineering and Computer Science at KTH

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

We invite applications for post-doctoral research positions with the Networked Systems Security (NSS) group at EECS/SCS. We are looking for highly motivated individuals with a very strong background and interest in networked systems security and privacy. Successful candidates will contribute to one of our research areas. The work will be supervised by Prof. Panos Papadimitratos.

The NSS group designs and builds trustworthy networked systems. Our research agenda covers a gamut of security and privacy problems. We have had numerous projects, including European ones, with a large network of industrial and academic collaborators.  Our activities are summarized here: www.eecs.kth.se/nss.

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
  • Significant documented research expertise in network or computer security and/or privacy enhancing technologies.
  • Written and spoken English proficiency, very good communication, and teamwork skills.
  • Strong motivation, ability to work independently.

Preferred qualifications

  • Teaching abilities and documented student supervision.
  • Awareness of diversity and equal opportunity issues, notably regarding gender equality.

Great emphasis will be placed on personal competency.

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.

The application must include:

  1. Cover letter: One-page summary of your application.
  2. Curriculum vitae: A document on all your relevant academic, professional, and other achievements, experience, and knowledge. Maximum five (5) pages.
  3. Statement of purpose: Please discuss: your motivation and research interests, your preparation (studies, technical knowledge, research, experience, etc.), your future goals, and how they relate to and complement research within NSS. Maximum two (2) pages.
  4. Transcripts and degrees: Official documents from your previously attended University-level institutions, with certified translations in English (unless provided so by the issuing institution).
  5. Full list of publications
  6. Representative publications relevant to the application: Up to three (3) documents.
  7. Recommendation letters: Please include detailed contact information for at least three (3) references.

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).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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.

https://youtube.com/watch?v=Sn2hApKmApI%3Frel%3D0
Type of employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAccording to agreement
SalaryMonthly salary
Number of positions1
Working hours100%
CityKista
CountyStockholms län
CountrySweden
Reference numberJ-2021-3227
ContactAnna Olanås Jansson, +46 8 790 91 08 Panagiotis Papadimitratos, +46 8 790 42 63
Last application date01.Feb.2022 11:59 PM CET

Read the job description at the university homepage

Login and apply

Post expires on tirsdag februar 1st, 2022

Postdoc in Information theory and statistical inference

Logo for KTH Royal Institute of Technology

Borggård_varbi.jpg

School of Electrical Engineering and Computer Science at KTH

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

Fundamental research should be conducted in the area of information theory and statistical inference/learning. The goal is to study how information theoretic concepts can be applied to statistical inference and learning problems. How can coding theorems and converse results be used to establish fundamental bounds on statistical inference and learning problems? How can concepts from distributed decision making in networks with non-classical information patterns be transferred to standard machine learning settings? The ideal candidate has a doctoral degree in information theory and/or statistical inference or learning along with a strong publication record.

Beyond the close collaboration with the supervisors, the candidate will have the opportunity to get engaged in supervision of master and/or doctoral students and collaboration with colleagues in the environment as well as international research collaborations. In particular, research collaboration will be done with Dr. Maël Le Treust, CNRS. The dynamic environment will offer other opportunities to support the development of the academic career of the candidate. 

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume)
  • Fundamental research experience in information theory and/or statistical inference and learning
  • Well-developed analytical skills and good command of English orally and in writing

Preferred qualifications

  • Doctoral degree in information theory and/or statistical inference or learning.
  • Publication record that shows a strong research ability
  • Creativity, independence, and motivation as well as well-developed ability to work collaboratively
  • It’s commendable if you can demonstrate teaching abilities and an awareness of diversity and equal opportunity issues, with specific focus on gender equality

Great emphasis will be placed on personal competency.

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.

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • Online link to PhD thesis
  • Up to three academic reference letters are commendable

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).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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.

https://youtube.com/watch?v=Sn2hApKmApI%3Frel%3D0
Type of employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAccording to agreement
SalaryMonthly
Number of positions1
Working hours100 %
CityStockholm
CountyStockholms län
CountrySweden
Reference numberJ-2021-3205
ContactTobias Oechtering, Professor, oech@kth.se Dr. Mael Le Trust, mael.le-treust@ensea.fr Anna Mård, HR Officer, rekrytering@eecs.kth.se
Last application date31.Jan.2022 11:59 PM CET

Read the job description at the university homepage

Login and apply

Post expires on mandag januar 31st, 2022

Postdoc in Numerical Analysis

Logo for KTH Royal Institute of Technology

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School of Engineering Sciences at KTH

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 numerical analysis unit within the department of Mathematics is offering a two-year postdoc position. The research project will be focused on development of numerical algorithms based on integral equations that can be used to simulate e.g. close interactions of drops and particles in viscous fluids with control of the error. This entails error estimation of numerical approximation of so-called layer potentials, integrals over surfaces, as well as the development of cost-aware adaptive methods with error control. The project will span over theory, algorithms, software and applications.

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
  • Excellent programming skills.
  • Excellent oral and written communication skills in English.

Preferred qualifications

  • Research expertise in Numerical Analysis is the most important selection criteria, and should be shown through scientific publications/doctoral dissertation.
  • Ability to work both independently and with colleagues in different constellations.
  • It is also of merit with shown pedagogical ability, as well as awareness of diversity and equal treatment issues with a particular focus on gender equality.

Great emphasis will be placed on personal competency.

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.

Instructions: The application should include:

  • CV including publication list
  • Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals (maximum two pages).
  • Up to three letters of recommendation, sent directly by the letter writer to jobs@math.kth.se.
  • Contact information for at least two reference persons. We reserve the right to contact references only for candidates who are being interviewed.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages. If a doctoral degree has not yet been obtained, enclose a certificate regarding planned degree date.

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).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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.

https://youtube.com/watch?v=Sn2hApKmApI%3Frel%3D0
Type of employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAccording to agreement , about latest september 2022
SalaryMonthly salary
Number of positions1
Working hours100%
CityStockholm
CountyStockholms län
CountrySweden
Reference numberS-2021-1944
ContactAnna-Karin Tornberg, akto@kth.se
Last application date07.Feb.2022 11:59 PM CET

Read the job description at the university homepage

Login and apply

Post expires on mandag februar 7th, 2022

Doctoral students in digitalized power grids

Logo for KTH Royal Institute of Technology

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School of Electrical Engineering and Computer Science at KTH

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: Electrical Engineering

With the high penetration of renewables, power electronics and the tightly coupled cyber and physical networks, future power systems will be more complex with stochastics and vulnerabilities. Recent advancements in artificial intelligence, big data and advanced control/optimization technologies provide possible novel approaches to address above challenges. This project will develop a digital model as well as learning based optimization algorithms to achieve stable and secure operation of future power grids. This project is funded by Swedish Research Council.  

Supervision: The doctoral student will be supervised by: Ass. Prof Qianwen Xu and Professor Lars Nordström

What we offer

Admission requirements

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 second cycle degree (for example a master’s degree),
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge,
  • Master’s degree in Electrical engineering or equivalent.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here

Selection

In order to succeed as a 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:

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

Strong background in power system/ optimization/AI will be preferred.

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. The 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.

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 previous achievements and future plan. (Maximum 2 pages long)
  • Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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.

https://youtube.com/watch?v=Sn2hApKmApI%3Frel%3D0
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 positions1
Working hours100%
CityStockholm
CountyStockholms län
CountrySweden
Reference numberJ-2021-2822
ContactQianwen Xu, Bitr universitetslektor, qianwenx@kth.se Eleni Nylén, HR Handläggare, eleniny@kth.se
Last application date02.Feb.2022 11:59 PM CET

Read the job description at the university homepage

Login and apply

Post expires on onsdag februar 2nd, 2022

Postdoc in bottom-up-assembly of synthetic plant cells

Logo for KTH Royal Institute of Technology

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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH

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

Working with plant tissue or whole plants does not always allow us to improve our understanding of unique biological properties of specific plant cell types. In the case of animal cells, analysis of simplified model systems has been extensively performed to better understand complex biological processes. In comparison, similar approaches to better understand plant cells have not yet been as extensively established. In this project the aim is to further develop assembly protocols of artificial model plant cells (Plantosomes, Nature Communication 2020) using microfluidics. These biomimetic structures will possess certain properties and functions found in real plant cells.

The project focuses on microfluidics fabrication and characterization development in order to provide plant cell models that can be used for deeper understanding of the inherent properties of the cell wall, lipid membranes and integral membrane proteins in natural plant cells.

The present project will be in close collaboration with Malmö University , Sweden, and the Ruhr University Bochum, Germany. Results will be published in scientific journals and presented at international conferences.

This is a 2 year Postdoc position. There will later be a Researcher position for 1 year announced as a continuation of the same project.

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • An international project.
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume)

You have documented knowledge/working experience with at least two of the following;

  • Previous hands-on experience with microfluidics and double-emulsion generation
  • Working experience with (proteo)liposomes and giant vesicles.
  • Knowledge in colloidal chemistry
  • Expertise in advanced fluorescence microscopy

As a person:

  • You are highly creative, driving and motivated
  • You are able to work independently
  • You have a professional approach
  • You possess good ability to express yourself in both speech and writing.
  • You have collaborative abilities with scientists within the own and nearby research fields

Preferred qualifications

Knowledge and skills that are meritorious for the position:

  • A background in Synthetic Biology; Plant biology or equivalent.
  • Experience with Click Chemistry.
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality.
  • Teaching abilities.

Great emphasis will be placed on personal competency.

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.

The application must include:

  • CV including relevant professional experience, publications and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • Brief account of why you want to conduct research on synthetic plant cells, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

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).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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.

https://youtube.com/watch?v=Sn2hApKmApI%3Frel%3D0
Type of employmentTemporary position longer than 6 months
Contract typeFull time
First day of employment2022-03-01
SalaryMonthly salary
Number of positions1
Working hours100%
CityStockholm
CountyStockholms län
CountrySweden
Reference numberC-2021-2426
ContactAssistant Professor Anna J Svagan (Hanner), svagan@kth.se
Last application date31.Jan.2022 11:59 PM CET

Read the job description at the university homepage

Login and apply

Post expires on mandag januar 31st, 2022

Postdoc in Information theory and statistical inference

Logo for KTH Royal Institute of Technology

Borggård_varbi.jpg

School of Electrical Engineering and Computer Science at KTH

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

Fundamental research should be conducted in the area of information theory and statistical inference/learning. The goal is to study how information theoretic concepts can be applied to statistical inference and learning problems. How can coding theorems and converse results be used to establish fundamental bounds on statistical inference and learning problems? How can concepts from distributed decision making in networks with non-classical information patterns be transferred to standard machine learning settings? The ideal candidate has a doctoral degree in information theory and/or statistical inference or learning along with a strong publication record.

Beyond the close collaboration with the supervisors, the candidate will have the opportunity to get engaged in supervision of master and/or doctoral students and collaboration with colleagues in the environment as well as international research collaborations. In particular, research collaboration will be done with Dr. Maël Le Treust, CNRS. The dynamic environment will offer other opportunities to support the development of the academic career of the candidate. 

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume)
  • Fundamental research experience in information theory and/or statistical inference and learning
  • Well-developed analytical skills and good command of English orally and in writing

Preferred qualifications

  • Doctoral degree in information theory and/or statistical inference or learning.
  • Publication record that shows a strong research ability
  • Creativity, independence, and motivation as well as well-developed ability to work collaboratively
  • It’s commendable if you can demonstrate teaching abilities and an awareness of diversity and equal opportunity issues, with specific focus on gender equality

Great emphasis will be placed on personal competency.

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.

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • Online link to PhD thesis
  • Up to three academic reference letters are commendable

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).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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.

https://youtube.com/watch?v=Sn2hApKmApI%3Frel%3D0
Type of employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAccording to agreement
SalaryMonthly
Number of positions1
Working hours100 %
CityStockholm
CountyStockholms län
CountrySweden
Reference numberJ-2021-3205
ContactTobias Oechtering, Professor, oech@kth.se Dr. Mael Le Trust, mael.le-treust@ensea.fr Anna Mård, HR Officer, rekrytering@eecs.kth.se
Last application date31.Jan.2022 11:59 PM CET

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Post expires on mandag januar 31st, 2022

Doctoral student in large-scale distributed machine learning

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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.

School of Electrical Engineering and Computer Science at KTH

Project description

Third-cycle subject: Electrical Engineering

With the development of computing and communication technologies, and emerging data-driven applications, e.g., IoT based intelligent systems, social network analysis and vehicular networks, the volume of data for various learning systems increases explosively along with the number of involving computing nodes. Thus, large-scale distributed machine learning (e.g., federated learning, and alternating direction method of multipliers (ADMM)) has been pervasive in our societies and industries. However, the practical performance of DML is often limited by various bottlenecks and is still far from theoretical upper limits. Thus, this project will develop efficient algorithms and schemes to achieve reliable, secure and low-complexity large-scale DML. One key approach is to exploit network and channel coding schemes. Theoretical analysis will be performed using learning and communication tools (e.g., graph model, coding and information theory, optimization). The result will also be verified by simulations with true data.

Supervision: Ming Xiao is proposed to supervise the doctoral student. Decisions are made on admission

What we offer

  • The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world.Read more
  • A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
  • A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
  • Work and study in Stockholm, close to nature and the water.
  • Help to relocate and be settled in Sweden and at KTH.
  • The project will be hosted by Division of Information Science and Engineering, EECS school. You have opportunities to take advanced Ph.D courses to improve your knowledge backgrounds. The project is funded by Swedish Research Council (VR). You will have opportunities to work on cutting-edge information and data science and engineering.

Admission requirements

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 second cycle degree (for example a master’s degree),
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge
  • Knowledge in machine learning/data science is needed.
  • Knowledge in related mathematical analysis (for machine learning) is required.
  • Knowledge in information theory, coding theory is preferable.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here

Selection

In order to succeed as a 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:

  • independently pursue his or her work
  • collaborate with others,
  • have a professional approach and
  • analyse and work with complex issues.
  • Analyse and work with complex issues, especially with mathematical tools.
  • Demonstrated the capability of independently writing research article in English.

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. The 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.

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)
  • Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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.

https://youtube.com/watch?v=Sn2hApKmApI%3Frel%3D0
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 positions1
Working hours100%
CityStockholm
CountyStockholms län
CountrySweden
Reference numberJ-2021-2920
ContactMing Xiao, Associate Professor, +46 8 790 65 77 Anna Mård, HR Officer, amard@kth.se
Last application date31.Jan.2022 11:59 PM CET

Read the job description at the university homepage

Apply for position

Post expires on mandag januar 31st, 2022

Doctoral student in Information and Communications Technology

Logo for KTH Royal Institute of Technology

Borggården.jpg

School of Electrical Engineering and Computer Science at KTH

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

Doctoral students in in-circuit computation in memristors for a model of Cortex.

The PhD candidate will map a biologically plausible model of cortex to a memristor crossbar. Part of the calculations of the model will be mapped in the crossbar using analog computations to fuse storage and computation to fundamentally overcome the von-Neumann bottleneck. The key challenges that the PhD will address will be memristor device modelling, factoring in large space-time variations in memristor devices, full-custom circuit level design and mixed-signal design.

Supervision: The doctoral student will be supervised by: Prof. Ahmed Hemani

What we offer

Admission requirements

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 second cycle degree (for example a master’s degree),
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge

The applicant should have a master’s degree in Electronics Engineering.  The applicant should have a strong background in circuit-level design, SPICE modelling of devices and circuits and mixed-signal design and basic digital design. The position also requires familiarity with tools like Virtuoso and mixed-signal modelling tools. Familiarity with the memristive devices, neural network algorithms, signal processing will be highly desirable.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here

Selection

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

  • Independently pursue his or her work and be a team player
  • Creative, problem solving and penchant for doing high-impact foundational research
  • Work in a disciplined manner with good time management skills
  • Analyse and work with complex issues and ability and desire to acquire new knowledge
  • Ability to write, present and discuss scientific work with clarity and precision in English

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. The 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.

Union representatives

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

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

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

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)
  • Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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.

https://youtube.com/watch?v=Sn2hApKmApI%3Frel%3D0
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 positions8
Working hours100%
CityStockholm
CountyStockholms län
CountrySweden
Reference numberJ-2021-2936
ContactProf. Ahmed Hemani, hemani@kth.se Tysse Norlindh Falk, HR Officer, tysse@kth.se
Last application date27.Jan.2022 11:59 PM CET

Read the job description at the university homepage

Apply for position

Post expires on torsdag januar 27th, 2022