Publisher
source

Andreas Archenti

Top university

5 months ago

PhD Positions in Production Engineering, Machining, and Production Systems Modelling at KTH KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Mechanical Engineering

Funding

The positions are fully funded with monthly salary according to KTH’s doctoral student salary agreement. Employment is full-time for up to four years, with employee benefits and opportunities for international collaboration. The project is co-funded by KTH and includes a one-year research stay at NTU for the Production Systems Modelling position.

Deadline

Expired

Country flag

Country

Sweden

University

KTH Royal Institute of Technology

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Suggested positions

Keywords

Mechanical Engineering
Industrial Engineering
Digital Manufacturing
Metrology
Machining Technology
Digital Twins

About this position

The Department of Production Engineering at KTH Royal Institute of Technology is recruiting four PhD students for research in sustainable, digital, and advanced manufacturing. Two highlighted positions are: (1) Doctoral student in machining with a focus on process and functional surfaces, and (2) Doctoral student in Production Systems Modelling, in collaboration with Nanyang Technological University (NTU), Singapore.

The machining position focuses on advanced component manufacturing, high-precision machining, process optimisation, and functional surface characterisation. Research activities include experimental metrology, high-resolution sensor data analysis, process modelling, simulation, and data-driven methods. The student will join the Manufacturing and Metrology Systems unit and the Precision Engineering and Metrology (PEM) group, working closely with industry partners through Centre X.

The Production Systems Modelling position advances digital-twin-based frameworks for production and logistics, enabling improved analysis, simulation, and data-driven decision-making in complex industrial environments. The project is part of a strategic partnership with NTU, and the student will spend up to one year at NTU. Research areas include manufacturing systems, digitalization, multimodal data, and AI. The student will join the Production Logistics research group and collaborate with partners in Sweden, South Korea, Singapore, the US, and Taiwan.

Applicants must have a relevant master's degree or equivalent, strong English skills, and a background in mechanical, production, or industrial engineering, or computer science. Experience in control systems, metrology, machine tools, modelling, simulation, AI, or digital twins is beneficial. The positions are fully funded, with monthly salary and employee benefits according to KTH’s doctoral student salary agreement. Employment is full-time for up to four years, with opportunities for international research collaboration and a dynamic, interdisciplinary environment.

Application requires certified diplomas, transcripts, proof of language proficiency, CV, application letter, and relevant publications. The deadline for applications is 30 April 2026. For more information and to apply, visit the KTH job portal.

Funding details

The positions are fully funded with monthly salary according to KTH’s doctoral student salary agreement. Employment is full-time for up to four years, with employee benefits and opportunities for international collaboration. The project is co-funded by KTH and includes a one-year research stay at NTU for the Production Systems Modelling position.

What's required

Applicants must have a second cycle degree (e.g., master's) or equivalent in Mechanical Engineering, Production Engineering, Industrial Engineering, Computer Science, or a related field. At least 240 higher education credits, with 60 at the second-cycle level, are required. English proficiency equivalent to English B/6 is mandatory. Experience in control systems, metrology, machine tools, modelling, simulation, AI, or digital twins is beneficial. Candidates should be goal-oriented, able to work independently and collaboratively, and demonstrate scientific writing skills. Certified copies of diplomas, transcripts, proof of language proficiency, CV, application letter, and relevant publications are required.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors