Department of Electrical Engineering and Automation is a part of Aalto University School of Electrical Engineering. The Micro- and Nanorobotics Group at the department conducts academic research and education in the field of micro- and nanorobotics, an emerging and rapidly growing multidisciplinary field that crosses the domains of robotics, micro- and nanotechnology, and artificial intelligence, and involves aspects of physics, surface science, and biology. The applications of micro- and nanorobotics cover wide fields of biotechnology, material engineering, and micro- and nanotechnology as well as research tools and manufacturing technologies.
Doctoral student in automatic micro- and nanorobotic manipulation
Aalto University Department of Electrical Engineering and Automation invites applications for doctoral student at the Micro- and Nanorobotics group.
We are looking for talented doctoral students to investigate, design, and develop next generation of highly-automated micro- and nanorobotic systems with frontier applications in microassembly, microfluidics, and biomedicine. To achieve better performance and reliability beyond today’s micro- and nanorobots, both robotic hardware as well as perception and control algorithms needs to be improved to better treat the manipulation uncertainties in the micro- and nano world.
We expect the applicant be willing to pursue interdisciplinary research, going beyond the boundary of the main field he or she has studied. Depending on the background and interests of the applicant, he or she will contribute to a selection of the tasks such as: design and implementation of microrobotic mechatronics, fabrication of micro- and nano structures and tools in cleanroom, design of perception algorithms for microrobotic control, design of automation algorithms including machine learning and implement the algorithm in a software architecture, and experimental tests for validating and improving the developed hardware and algorithms in applications including microsystem assembly, microfluidics and biomedical operations.
The research topic will be specifically defined based on the background of the applicant and the mutual interests of the applicant and the research group after acceptance. The applicant will be closely supervised and also involve dynamic interactions with other members of the group and international collaborators.
The applicant should have recently received, or is expected to finalize within a few months, a Master’s degree, major in mechatronics, robotics and/or automation, or other related fields. Advanced programming skill is expected, computer science studies are a plus. We also value studies in physics, biology, or microfabrication and previous experience in practical experimental projects. In general, we expect that the applicant has excellent track record, strong interests in academic career, eager to work hands-on, open-minded, and willing to collaborate with others.
The applicant, after being accepted and started in Aalto University, will receive a salary determined according to the salary system of Aalto University, adjusted in relation to the progress of the applicant. The applicant is expected to complete the dissertation in around four years, including 40 credits of course study. The employment will be one year full-time for the first contract, which is to be extended to cover the rest of the doctoral study.
How to apply
Applications should be addressed to Aalto University School of Electrical Engineering, Professor Quan Zhou and submitted online (in pdf-format) through recruitment system via “Apply for this job” link below, no later than on November 30, 2014
Applications should include
– Cover letter on personal background, motivation for the application, and research goals and plan (up to two A4 pages)
– Curriculum vitae (CV) including a list of publications, detailed contact information, and contact information of two reference persons
– Official transcript of study records and degree certificates (if not received in Finland, a certificated English translation)
– Master’s thesis (if not ready, the draft)
– Scientific publications (papers)
– Other diplomas, certificates and documents that the applicant wishes to refer to
Please name your documents in the following format:
– Surname_GivenName_coverletter.pdf
– Surname_GivenName_CV.pdf
– Surname_GivenName_certificates.pdf
– Surname_GivenName_ Thesis.pdf
– Surname_GivenName_ publications.pdf
– Surname_GivenName_other_diplomas.pdf
Additional information
We may contact you and request additional materials after reviewing your application. For further information, please contact the leading professor of Micro- and Nanorobotics Group, Dr. Quan Zhou, email quan.zhou@aalto.fi.
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