Fully Funded PhD and Postdocs at KTH Royal Institute of Technology (KTH)

Location: School of Engineering Sciences at KTH

Type of employment: Temporary position

Contract type: Full time

First day of employment: 2024-05-01

Salary: Monthly salary according to KTH’s doctoral student salary agreement

Number of positions: 1

Working hours: 100%

City: Stockholm

Deadline: 12.02.2024

Summary:

The Quantum Technology & Materials group at the Materials & Nano Physics Division is seeking a Ph.D. candidate. This role involves engaging in advanced research in quantum materials, including superconductors and magnetic topological quasiparticles. The candidate will be involved in both basic and applied research, leveraging the division’s established collaboration with theorists and conducting experiments at both in-house and large-scale facilities.

Responsibilities include developing and studying low-dimensional 2D magnetic van der Waals materials and interfaces. The candidate must write beamtime proposals, travel for experiments, perform data analysis, and communicate findings both orally at international conferences and in written form in scientific journals. They are expected to develop research ideas, complete relevant coursework, and collaborate with MSc students, other Ph.D. candidates, and postdoctoral researchers. The primary third-cycle subject is Material Physics, and Yasmine Sassa is proposed as the supervisor.

Requirements

Educational and Skill Requirements:

• Basic eligibility includes a second cycle degree (like a Master’s in Physics, Material Physics, Applied Physics) or equivalent educational qualifications.
• A mandatory requirement of English proficiency equivalent to English B/6.

Work Environment and Benefits:

• The position is based in a dynamic, international research environment, offering collaboration with industries and renowned universities worldwide.
• The workplace offers various employee benefits and a salary as per KTH’s Doctoral student salary agreement.
• Supportive working conditions, with a focus on gender equality, diversity, and a positive study environment.
• Assistance with relocation and settlement in Sweden and at KTH is provided.

Selection Criteria:

• Candidates are expected to be goal-oriented, perseverant, and capable of working independently and collaboratively.
• A professional approach, problem-solving skills, stability under stress, and experience with large-scale facilities are valued.
• Personal competencies will be a significant factor in the selection process.

More Details and Apply.

Location: School of Engineering Sciences at KTH

Type of employment: Temporary position

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

Deadline: 01.02.2024

Summary:

The Doctoral Program in Applied and Computational Mathematics at KTH offers an exciting opportunity to engage in the development of theory, methods, and applications for optimal transport problems. This rapidly growing field has extended its reach from traditional areas like logistics and economics to innovative applications in machine learning, sensor fusion, and bioinformatics. The project focuses on multi-marginal optimal transport problems, crucial for addressing complex issues in areas like traffic flow and imaging. Under the supervision of Johan Karlsson, the doctoral student will delve into this interdisciplinary field, contributing to both theoretical and practical advancements. The program is set in a dynamic, international research environment with strong industry and academic collaborations.

Requirements

Academic Qualifications:

• A second-cycle degree (e.g., a Master’s degree).
• At least 240 higher education credits, including 60 at the second-cycle level, or equivalent knowledge acquired in Sweden or abroad.
• Proficiency in English equivalent to English B/6.

Personal Competencies:

• Goal-oriented and persevering.
• Ability to work independently and collaboratively.
• Professional approach to complex problem-solving.
• Strong background in mathematics, preferably with a degree in mathematics, applied mathematics, or similar.
• Knowledge in optimization, systems theory, functional analysis, and complex analysis.
• Strong motivation, independent working capability, teamwork skills, and good communication abilities.

Benefits:

• Engaging in a dynamic and international research setting.
• Collaboration opportunities with industries and renowned global universities.
• Employee benefits and a competitive doctoral student salary.
• Supportive work environment with a focus on working conditions, gender equality, diversity, and study environment.
• Assistance with relocation and settlement in Sweden and at KTH.

More Details and Apply.

Location: School of Electrical Engineering and Computer Science at KTH

Type of employment: Temporary position

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

Deadline: 05.02.2024

Summary:

This position, located at the intersection of the Division of Psychology, Department of Clinical Neuroscience at Karolinska Institutet, and the Computational Brain Science lab at KTH Royal Institute of Technology, presents a unique opportunity. The candidate will be immersed in an interdisciplinary environment, focusing on the integration of experimental and computational methods to explore human cognitive capabilities. The primary objective is to develop and implement mathematical models of the brain for large-scale simulations, particularly of cortical memory functions. The role involves building neural network models, analyzing simulation data, interpreting results, and evaluating the model’s compatibility with diverse experimental data. The project is part of the Computer Science third-cycle subject, with a specialization in Computational Biology, under the supervision of Associate Prof. Pawel Herman.

Requirements

Admission Requirements:

• A second cycle degree (e.g., a master’s degree) or equivalent educational qualifications.
• Educational background in computer science, engineering physics/math, cognitive science, or related fields.
• English proficiency equivalent to English B/6.

More Details and Apply.

Location: School of Electrical Engineering and Computer Science at KTH

Type of employment: Temporary position

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

Deadline: 31.01.2024

Summary:

The ADVOLCANO project aims to address challenges in climate and security by analyzing adverse voltage controllers’ interactions in active distribution networks. This PhD position focuses on modeling and characterizing these interactions and developing methods for their analysis. The project seeks to deploy new voltage control strategies in active distribution systems while improving system resiliency and avoiding adverse interactions. The PhD student will collaborate with multiple institutions and experts in the field, including KTH Division of Electric Power and Energy Systems, KTH Division of Decision and Control Systems, Uppsala University, and RISE Research Institutes of Sweden. Supervision will be provided by Prof Xiongfei Wang of KTH and Stefan Stanković from RISE.

Requirements

Educational Qualifications:

• A second-cycle degree (e.g., a master’s degree).
• At least 240 higher education credits, with a minimum of 60 at the second-cycle level.
• Equivalent knowledge acquired within or outside the country.

Skills and Abilities:

• Goal-oriented and persevering.
• Ability to work independently and collaboratively.
• Professional approach and aptitude for complex problem-solving.
• Strong knowledge in Power System Analysis, Control, and Stability.
• Proficiency in system theory and control engineering.
• Excellent English language skills in both speaking and writing.
• Experience with stability and control of grid-connected power electronics systems.

Other Requirements:

• English proficiency equivalent to English B/6.
• Personal competencies will be a significant factor in the selection process.

More Details and Apply.

Location: School of Engineering Sciences at KTH

Type of employment: Temporary position

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

Deadline: 31.01.2024

Summary:

The doctoral project in Applied and Computational Mathematics at KTH focuses on exploring the dynamics of mixed-autonomy systems, where human agents play a crucial role. These systems, encompassing transportation, human-robot interactions, smart grids, and federated learning, require innovative control, optimization, and learning strategies to integrate human behavior effectively. The project aims to develop mechanisms for incentivizing strategic human agents to act authentically and non-maliciously. Research will encompass game and mechanism design, data exchange, and practical applications, melding theoretical and algorithmic approaches. The doctoral candidate will join the Wallenberg AI, Autonomous Systems, and Software Program (WASP), gaining access to a rich network of resources, research visits, and opportunities for interdisciplinary collaboration.

Requirements

Applicants must meet the following qualifications:

1. Educational Background: A second-cycle degree (e.g., a master’s degree) or equivalent in applied mathematics, automation control, optimization, learning, economics, or closely related fields. This includes completing at least 240 higher education credits, with a minimum of 60 at the second-cycle level.
2. Language Skills: Proficiency in English equivalent to English B/6.
3. Personal Competencies: Candidates should demonstrate goal orientation, perseverance, the ability to work independently and in collaboration, professionalism, and the capacity to handle complex issues.

The selection process will place significant emphasis on personal competencies after meeting the qualification requirements. The successful candidate will benefit from a dynamic international research environment, collaborations with industry and academia, competitive salary and benefits, supportive working conditions, and the vibrant setting of Stockholm. Additionally, they will have access to the resources and events of WASP and Digital Futures, offering a unique opportunity for comprehensive professional development.

More Details and Apply.

Location: School of Electrical Engineering and Computer Science at KTH

Type of employment: Temporary position

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

Deadline: 31.01.2024

Summary:

This project, part of the EU-project EXTRA-BRAIN, aims to develop and study brain-like neural network architectures for semi-supervised and unsupervised learning problems. The focus is on designing, simulating, and analyzing neural network models, benchmarking these brain-like architectures against conventional machine learning methods. Participants will engage in extensive literature review, result interpretation, and be active in discussions with project partners. They are also expected to contribute to regular meetings and the writing of technical reports and scientific papers.

Requirements

Educational Background:

• The applicant should have a second cycle degree, such as a master’s degree.
• Alternatively, completion of at least 240 higher education credits, with a minimum of 60 at the second-cycle level, or equivalent knowledge acquired in other ways, is required.

Skills and Competencies:

• A strong foundation in computer science.
• Proficiency in English equivalent to English B/6.
• Goal-oriented, persevering, able to work independently and collaboratively, professional in approach, and skilled in handling complex issues.
• Competence in machine learning and computational neuroscience is an advantage.
• Knowledge of parallel programming (like MPI or GPU) is appreciated but not mandatory.

Additional Benefits:

• The project offers an opportunity to work in a dynamic, international research environment with industry and academic collaborations worldwide.
• It includes employee benefits, a competitive salary based on KTH’s Doctoral student salary agreement, and support in relocation and settling in Sweden.
• The work environment at KTH is supportive of working conditions, gender equality, diversity, and a positive study environment.

More Details and Apply.