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Two postdocs and one doctoral candidate positions in Electronics Integration and Reliability

Department of Electrical Engineering and Automation
Teaching and research positions

Smart miniaturized systems in demanding applications from biological and medical to power, optical and automotive electronics are based on sensing and actuation by micro- and nanoelectromechancial systems (MEMS/NEMS). While currently MEMS functional elements are made of silicon, the diversification of applications, demand for new functionalities and higher integration density. This coupled with the requirement of low power consumption provides an opportunity to explore new and innovative integration strategies in the design of MEMS, BioMEMS and MOEMS, including the utilization of new materials and interfaces. The research of Electronics Integration and Reliability group is focused on new hybrid and multi-material concepts for smart system integration in applications such as, Internet of Things, Smart energy, mobility and health related applications. In addition, their implications on device performance, process integration, stress management and reliability is studied.

Electronics Integration and Reliability group belongs to the Department of Electrical Engineering and Automation at Aalto University School of Electrical Engineering. The group is located in Micronova (www.micronova.fi) and uses the cutting-edge infrastructure of OtaNano, established in 2013, providing centralized access to advanced nanofabrication, nanomicroscopy and low-noise measurement facilities. The group is also using different modeling tools to anticipate and rationalize reliability performance of heterogeneous integration in micro- and nanosystems.

Department of Electrical Engineering and Automation is looking to fill two postdoctoral researcher positions and one doctoral candidate position to develop 3D integrated miniaturized smart systems. The work supports a number of recently granted ECSEL JU projects addressing safe autonomous driving, heterogeneous integration of MEMS and silicon-based power electronic components and systems:

  1. Post-doctoral position in material mechanics modellingof integrated Smart Systems
  2. Post-doctoral position in thin-film processing and design of Three-Dimensional (3D) Integration of MEMS and Smart Systems
  3. Doctoral student position in development of Solid-liquid interdiffusion (SLID) bonding

The appointment is available immediately. All positions are fixed-term and filled initially for 1 year, the post-doc positions with an option for an extension of 3-years and the doctoral student position until the end of the 4-year PhD studies. The salary is determined according to the salary system of Aalto University.  Employment includes occupational health and social security benefits.

1. Post-doctoral position in material mechanics modelling of integrated Smart Systems

With an innovative combination of advanced thin film processes, the goal is to develop novel micro/nanofabrication based packaging platforms to enable integration of wide variety of heterogeneous technologies including MEMS, BioMEMS, MOEMS and different IC technologies. Process integration often includes the use of multilayer thin-film stacks with vastly different thermomechanical behavior. The interactions between materials require  careful consideration of both the thermomechanical and residual stress behavior and to be able to carry out multi-scale thermomechanical modeling and stress management to address the thin film vs component level stresses. Specific emphasis will be placed on Finite Element Modeling (FEM), especially developing and optimizing the material models for thin-film structures under variety of intrinsic and extrinsic stresses.

A candidate should have a doctoral degree with a strong background in material mechanics of electronic materials and extensive experience in FE modelling software. In particular, experience is valued in correlating and optimizing the FE models based on experimental data. You have good knowledge in MEMS and semiconductor technologies and practical experience in related multi-mechanics of materials and systems. Fluency in English both written and spoken is essential.

2. Post-doctoral position in thin-film processing and design of Three-Dimensional (3D) Integration of MEMS and Smart Systems

By combining the state-of-the-art technologies such as wafer bonding, vertical vias and micro-connects, the goal is to develop novel micro/nanofabrication based packaging platforms, for example piezo-electric smart sensors and actuators, and to enable integration of wide variety of heterogeneous technologies including MEMS, BioMEMS, MOEMS and different IC technologies.

A candidate should have a doctoral degree with a strong experimental background in micro and nanofabrication or a related discipline. You have good knowledge in MEMS and semiconductor design and manufacturing technologies and proven practical experience in cleanroom equipment and processes. Knowledge in process integration of multi-material structures is valued. The candidate should have strong analytical and writing skills, and experience or genuine interest on MEMS/NEMS and ubiquitous smart systems. Fluency in English both written and spoken is a requirement.

3. Doctoral student position in development of Solid-liquid interdiffusion (SLID) bonding

The goal is to develop novel micro/nanofabrication based packaging platforms to enable integration of a wide variety of heterogeneous technologies by utilizing advanced thin film processes. One key enabling technique for heterogeneous integration is Solid-liquid interdiffusion (SLID) bonding that allows for multi-wafer stacking. In addition, to mitigate the effects of high processing temperatures on device functionality and reliability, novel material solutions are being developed in order to achieve low-temperature SLID bonding.

A candidate should have a M.Sc. or equivalent degree in a suitable area (e.g. electrical engineering, micro/nanoelectronics, physics or materials science), or be a M.Sc. student in a final phase of his/her studies. The candidate should have strong analytical and writing skills, and experience or genuine interest on MEMS/NEMS and smart systems. Expertise in micro/nanofabrication processes and material characterization methods is valued. Fluency in English both written and spoken is a requirement.

How to apply

To apply, submit the documents indicated below using the on-line recruitment system link ‘Apply now!’, by May 31st , 2019. Application materials should be submitted in a single pdf file and in English.

Your application should include the following attachments: motivation letter, CV, a copy of study records, list of publications and names and contact details of 2 references. Please indicate in your motivation letter which position you are applying.

Additional information

For additional information in recruitment process related questions, please contact HR Coordinator Jaana Hänninen, [email protected].

Aalto University reserves the right for justified reasons to leave the position open, to extend the application period and to consider candidates who have not submitted applications during the application period.

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 11 000 students and a staff of more than 4000, of which 400 are professors. Our campuses are located in Espoo and Helsinki, Finland.

The School of Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. The School is an international unit with close to 60 professors and 2 000 full-time students, including over 200 doctoral students.

M.Sc. thesis and/or Project Worker Position on Automation Software for Robotic Instrument

Department of Electrical Engineering and Automation
Teaching and research positions

Department of Electrical Engineering and Automation is a part of Aalto University School of Electrical Engineering. A M.Sc. thesis and/or Project Worker position on microrobotic instruments is opened for Robotic Instruments Group (https://www.aalto.fi/department-of-electrical-engineering-and-automation/robotic-instruments) at the department.

Are you interested in transforming an important scientific result to a product? Or perhaps interested in being a part of the future high-tech start-up company?

The position is related to TUTL project on the award-winning Scanning Droplet Adhesion Microscope. The job is on automation software development for the newly invented robotic instrument for potential commercial exploitation. The scientific paper describing the new microscope can be found at:  http://dx.doi.org/10.1038/s41467-017-01510-7.

The position can be started as a M.Sc. thesis or a Project Worker if you have a M.Sc. degree already. The position is available from June and lasts until the end of 2019. There is also a possibility to continue the work in the potential start-up company established after the project.

Requirements and details

As a successful applicant you should be highly motivated in developing practical systems and have a background in one or several of the following fields: robotics and automation, automation software, software engineering, or closely related fields. The applicant is expected to have strong software skills, hands-on experience and willing to work with robotics and mechatronic systems. Furthermore, skills in data acquisition and data analysis are required. We also value highly the skills and experiences in force measurement, signal processing and controller design.

How to apply

Please send your application as a single PDF file at earliest convenience by Sunday 21.04.2019 through the link Apply now!.

Application material should include (all documents in English):

  • Letter of motivation (max. 1 page)
  • CV
  • Official transcripts or degree certificate

All applications should be submitted using the online application system of Aalto University. Email applications will NOT be considered.

Additional information

For more information please contact Professor Quan Zhou ([email protected]). For recruitment related matters please contact HR Coordinator Jaana Hänninen (jaana.hanninen(a)aalto.fi)

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has six schools with nearly 11 000 students and more than 400 professors. Our campuses are located in Espoo and Helsinki, Finland.

The Department of Electrical Engineering and Automation is a part of AALTO’s School of Electrical Engineering. Hosting a multitude of international and world-leading researchers, the Department of Electrical Engineering and Automation provides a truly inspirational ecosystem, where scientists and engineers from different fields interact and work together by crossing traditional boundaries to solve the most challenging scientific and technological problems, provide an excellent education and produce greater wellbeing for society in general. Its main research focus areas are: control, robotics, autonomous systems, power systems, and Industrial electronics and informatics. The department develops technologies, data models and standards supporting the integration of industrial information systems.

Master’s Thesis Position: Finite-element modelling of transcranial brain stimulation

Department of Electrical Engineering and Automation
Teaching and research positions

Department of Electrical Engineering and Automation, Electromagnetics in health technologies group, is looking for Master thesis worker in the topic described below. The position is especially well suited for students wishing to continue to doctoral studies.

Description

Transcranial direct current stimulation (tDCS) is a non-invasive method for eliciting long-lasting changes in cortical activity. TDCS is well tolerable and affordable, and could therefore be a promising alternative treatment strategy for diverse neurological or psychiatric diseases. For instance, tDCS has shown effectiveness for depression, chronic pain, or stroke rehabilitation.

A limitation of tDCS is that the electric currents flowing to the brain depend on individual anatomical features. Therefore, the actual stimulus, i.e., the electric field in the brain, can vary greatly between individuals. In therapeutic applications of tDCS, this could lead to uncertain treatment outcomes.

Our research group has been developing personalized computational MRI-based models that can reveal the detailed distribution of the electric field in each subject’s/patient’s brain. Our goal is to link these fields to individual stimulation outcomes. If we succeed, electric field models could be used to personalize and control tDCS, leading to improved effectiveness.

In this MSc thesis, the task of the candidate is to implement new features into our finite-element method (FEM) solver, which has been implemented in Matlab/C programming language. These features include the ability model anisotropic electrical conductivities and analysing diffusion tensor imaging (DTI) data. The second task is to construct individualized anatomical models from 15+ patients, who participated in a clinical tDCS study on depression, and explore whether the individually modelled electric fields are related to clinical outcomes.

The work will consist of the following main parts: theory, implementation of anisotropic FEM solver, image segmentation, analysis of DTI data, modelling of induced electric fields, and data analysis.

Qualifications

  • Applicant must be a student of Aalto University
  • The position is suitable for students in electrical engineering, physics, or biomedical engineering
  • We expect that the candidate has good programming and mathematical skills and basic knowledge of electromagnetic field theory and Matlab (or similar software)
  • Knowledge in finite-element method, statistics, and medical image processing are considered as advantages
  • Candidates willing to continue to doctoral studies are especially welcom


Schedule

Spring/summer 2019 to autumn/winter 2019 (six months).

How to apply

Please apply through our electronic recruitment system (link Apply now!). The deadline for applications is 22.04.2019. Application materials should be submitted in English or Finnish. Your application should include the following attachments in single PDF document: a cover/motivation letter, CV, and copy of study records.

 Aalto University reserves the right for justified reasons to leave the position open, to extend the application period and to consider candidates who have not submitted applications during the application period.

Additional information

For more information please contact Professor Ilkka Laakso (Ilkka.laakso(a)aalto.fi). For recruitment related matters please contact HR Coordinator Jaana Hänninen (jaana.hanninen(a)aalto.fi)

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has six schools with nearly 11 000 students and more than 400 professors. Our campuses are located in Espoo and Helsinki, Finland.

The Department of Electrical Engineering and Automation is a part of AALTO’s School of Electrical Engineering. Hosting a multitude of international and world-leading researchers, the Department of Electrical Engineering and Automation provides a truly inspirational ecosystem, where scientists and engineers from different fields interact and work together by crossing traditional boundaries to solve the most challenging scientific and technological problems, provide an excellent education and produce greater wellbeing for society in general. Its main research focus areas are: control, robotics, autonomous systems, power systems, and Industrial electronics and informatics. The department develops technologies, data models and standards supporting the integration of industrial information systems.

Doctoral candidate position for the Aalto Factory of the Future

Department of Electrical Engineering and Automation
Doctoral Candidate Positions

The “IT in Automation” research group is looking for a PhD candidate for the “Aalto Factory of the Future”. The Aalto Factory of the Future is a research factory to conduct research, innovation and educational activities around emerging trends in industrial automation such as Industry 4.0, Industrial Internet of Things and Flexible Manufacturing. Research projects involve close co-operation with various groups within Aalto University (from the School of Electrical Engineering and the School of Engineering) as well as from leading industries.

The Aalto Factory of the Future aims at developing and demonstrating solutions enabling extreme flexibility of production systems. It evolves around technologies such as robotics, mobile machines, artificial intelligence, distributed computing, edge and cloud computing, active safety, virtual reality, wireless communications, 3D printing, and smart materials.

Qualifications

We are looking for a candidate with a Master degree or equivalent, with a strong background in software development and hands on experience with industrial automation, mechatronics and robotics. In particular, strong programming skills are required. A good bonus is familiarity with formal models of computations. The student will be responsible for the design and implementation of a new automation architecture for the Aalto Factory of the Future.

Salary

We offer a PhD position based on a 1+2+1 years contract. Our target is that you will acquire the doctoral degree in four years. The salary is determined based on experience and qualifications according to the salary system of Aalto University. The contract includes occupational health benefits and Finland has a comprehensive social security system.

How to apply

Applications including, CV, diploma, possible list of publications, and other merits should be addressed to Aalto University School of Electrical Engineering, Group of Information Technologies for Industrial Automation. Please apply online through the "Apply now!" link below. Send your application in a single pdf-file by 31 July 2019. Applications arriving after deadline will be considered until the position is filled. The position is available from July 2019.

Additional information

For additional information, please contact Professor of Practice Jan Blech, jan.blech(at)aalto.fi. For recruitment process related questions, please contact HR Coordinator Jaana Hänninen, jaana.hanninen(at)aalto.fi.

Aalto University reserves the right for justified reasons to leave the position open or to extend the application period and to consider candidates who have not submitted applications during the application period.

For more information about living in Finland: http://www.aalto.fi/en/about/careers/international_staff/

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has six schools with nearly 11 000 students and more than 400 professors. Our campuses are located in Espoo and Helsinki, Finland.

The Department of Electrical Engineering and Automation is a part of AALTO’s School of Electrical Engineering. Hosting a multitude of international and world-leading researchers, the Department of Electrical Engineering and Automation provides a truly inspirational ecosystem, where scientists and engineers from different fields interact and work together by crossing traditional boundaries to solve the most challenging scientific and technological problems, provide an excellent education and produce greater wellbeing for society in general. Its main research focus areas are: control, robotics, autonomous systems, power systems, and Industrial electronics and informatics. The department develops technologies, data models and standards supporting the integration of industrial information systems.

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