Doctoral student/postdoc position on autonomous robotic instruments using energy field
Aalto University, Department of Electrical Engineering and Automation
Finland

Doctoral student/postdoc position on autonomous robotic instruments using energy field


20.6.2019


Learning Centre Café @ Aalto University


Application closes on
4.8.2019


Place
Department of Electrical Engineering and Automation


Position
Doctoral Candidate Positions


We are looking for talented doctoral student/postdoc to develop energy field based robotic instruments for autonomous manipulation and assembly of micro patterns and structures for future intelligent manufacturing. The research can be built upon the recent progress in acoustic manipulation at the group [1], [2] and/or other instruments/methods in the group or new developments. The candidate will work in a highly international, dynamic, and pioneering research group, including multidisciplinary collaboration with researchers/professors in different departments of Aalto University as well as in other universities and internationally.

 

Department of Electrical Engineering and Automation is a part of Aalto University School of Electrical Engineering. The position on autonomous robotic instrumentation is opened for Robotic Instruments group (https://www.aalto.fi/department-of-electrical-engineering-and-automation/robotic-instruments) at the department. The position is immediately available. The salary is based on the university salary scheme.

 

[1] Q. Zhou, V. Sariola, K. Latifi, and V. Liimatainen, “Controlling the motion of multiple objects on a Chladni plate,” Nat. Commun., vol. 7, pp. 1–10, 2016.
[2] K. Latifi, H. Wijaya, and Q. Zhou, “Motion of Heavy Particles on a Submerged Chladni Plate,” Phys. Rev. Lett., vol. 122, no. 18, 2019.

 

REQUIREMENTS AND DETAILS


As a successful applicant, you should be highly motivated in experimental research and have a background in one or several of the following fields: mechatronics, applied physics, robotics and automation, software engineering, microsystems, microrobotics, or related fields. We expect the applicant is eager to work on both robotic hardware/mechatronics as well as automation and algorithms including machine learning. The applicant is expected to be innovative, thinking out-of-box, multi-disciplinary, and hands-on. Experiences in microfluidics, microfabrication, and computer science will also be appreciated.

 

HOW TO APPLY


Please send your application as a single PDF file at earliest convenience or by Sunday 04.08.2019 through the recruitment system by clicking the Apply now button.

 

Application material should include (all documents in English):
• Letter of motivation / research ideas (about 1 page, max. 2 pages)
• CV and publication list
• Degree certificate(s) and/or expected graduation date
• Contact details of three referees

 

All applications should be submitted using the online application system of Aalto University. Email applications will NOT be considered. For further information, please contact Professor Quan Zhou (quan.zhou@aalto.fi).


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