Kungliga Tekniska högskolan, Skolan för industriell teknik och management

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.

Production engineering (IIP) includes techniques which mainly concern engineer technical development of products, processes, systems and methods that have direct impact on this production. The area includes everything from engineering aspects of manufacturing to assembly of components for functional products and recycling issues associated with these disciplines.

Job description

The research group in manufacturing and metrology systems (MMS) within the department of production engineering is offering a two-year postdoctoral position focusing on measurement, modeling and control of smart machining systems.

A machining system is one of the most important manufacturing units in any production system and therefore its characteristics have an important bearing on the accuracy and flexibility of the production system. A machining system is defined as a material processing unit where a machine tool structure, cutting tools, workholding fixtures and a workpiece interact with the cutting process to produce a part. To produce parts with required accuracy in a cost effective way, the relationship between machining system characteristics, work material properties and part accuracy/surface finish must be evaluated in order to control deviations within required tolerances. In many applications, the interaction effects between the chip formation of the cutting process and the physical characteristics of the machining system are studied. However, more in-depth studies including material properties such as microstructure is seldom included when interaction effects in metal cutting is investigated. This position aims at including all the sources of variation, including the workpiece material when studying the machining systems response.

The successful candidate will join a research group that is focusing on novel measurement and modelling methodologies for controlling machining systems physical characteristics by utilizing precision engineering principle. Tasks in this position include the following sub-topics:

  • Measurement of machining systems using metrological instruments
  • Uncertainty analysis of measurement and models and construction of error budgets
  • Verification and validation (V&V) trough repeated experiments

The candidate will be responsible to develop new strategies for design, measurement and control of smart machining systems. More specifically, it involves:

  • Measurement of machining systems static, dynamic and kinematic characteristics using state-of-the-art metrological instruments such as contactless excitation and repose system, loaded double ball bar and sensor-based solutions
  • Construct digital models (twins) of the machining system by fusing information from cutting process, machine tool response and workpiece material characterizes for model-based data analytics
  • Design and construct compensation strategies including a mechatronic joints for the control of machine tool behavior
  • Uncertainty analysis and error budgets
  • Characterization of work material
  • Verification and validation (V&V) trough experiments

Furthermore, the applicant should also support teaching activates, such as co-super visioning of doctoral students and master student.

Qualifications

The candidate must hold a Ph.D. degree, received no longer than six years ago, in either Production Engineering, Material Science or Mechatronics. Most importantly, experience from all three fields are necessary in order to have a knowledge in interactions between these fields.

The candidate should have at least 3-year experience of working in industry focusing on machine tools and machining systems, work materials properties and interaction effects between these. Excellent programming skills and good ability to develop smart algorithms for high performance machining system analysis structure dynamic analysis are requested. Furthermore, we are looking for a candidate with good competence in industrial metrology (fair knowledge about traditional and modern instrumentation for dynamic characterization of machine tools, measurement of cutting forces) and good understanding of the role of measurement in the production chain and measurement planning.

Knowledge in MATLAB/Simulink is a bonus.

The successful applicant should have an outstanding research and publication record or equivalent experience from industry. Well-developed analytical and problem solving skills are required. We are looking for a strongly motivated person, who is able to work independently, as well as within a research group. It’s of highly interest that the candidate has a good ability to work in cross-cultural and cross-functional groups. Excellent command of English orally and in writing is required.

In addition, connection to industrial networks will be considered a merit.

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

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

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number M-2018-0791
Contact
  • Andreas Archenti, Professor, +46 8 790 83 53
  • Amir Rashid, Associate Professor, +46 8 790 63 73
  • Maya Öberg, HR Officer (for HR matters), +46 8 790 76 53
Published 01.Jun.2018
Last application date 14.Jun.2018 11:59 PM CET

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