Research assistant / summer trainee (Automation Technology and Mechanical E

at  Tampereen yliopisto

Tampere, Länsi-Suomi, Finland -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate22 Apr, 2025Not Specified23 Jan, 2025N/AControllers,Anomaly Detection,Visualisation,Security Training,Visual Studio,Codesys,Cavitation,Dspace,Labview,English,Electric Motors,Condition Monitoring,Manuals,Linux,Electronics,Windows,Soldering Iron,Amesim,Python,Her,Data Integration,AutomationNoNo
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Description:

RESEARCH ASSISTANT / SUMMER TRAINEE (AUTOMATION TECHNOLOGY AND MECHANICAL ENGINEERING UNIT), 12 POSITIONS / TUTKIMUSAPULAINEN / KESÄTYÖNTEKIJÄ (AUTOMAATIO- JA KONETEKNIIKAN YKSIKKÖ), 12 TEHTÄVÄÄ

Together, Tampere University and Tampere University of Applied Sciences form a higher education community that places faith in people and scientific knowledge. Leading experts in the fields of technology, health and society are changing the world at Finland’s second largest multidisciplinary higher education institution. www.tuni.fi/en
The Automation Technology and Mechanical Engineering Unit (ATME) at Tampere University invites applications for several summer trainee positions in the fields of Innovative Hydraulics and Automation, Process Control, FAST-Lab, Dependable Systems Automation CyberLab, and Mechatronics.

JOB DESCRIPTION

The research assistants / summer trainees will assist the research groups at ATME by performing a broad variety of tasks. The research interests of our groups cover a wide range of fields, including robotics, automation, modularisation, integration and automation programming, and numerical algorithms. ATME seeks to maintain a balance between basic and industrially applicable research and has been recognized for research excellence in both areas.
The positions will be filled for a fixed-term period of 3 months, commencing on 1 June 2025 or as mutually agreed. A trial period of one month will apply.

4. DEPENDABLE SYSTEMS AUTOMATION CYBERLAB

Multiple topics suitable for summer trainee in extending Tampere Cyber City e.g. integrating steam engine as PLC controlled power supply for the Cyber City street lights, integrating traffic lights and wirelessly controlled for Lego train as traffic management solution, building a AR model (Digital Twin) of the Cyber City and integrating real-time measurements to the model, converting existing VR model of distillation process into AR model and integrating real-time measurements to the model, integrating ValmetDNA into distillation process AR model and many more. Depending on the subject the report language requirement may be Finnish since the outcomes are used in Critical Infrastructure Cyber Security Training in Finland. Required interest areas should be some subset of the following:

  • AR/VR technologies
  • Programmable Logic Controllers
  • Data integration and visualisation
  • Electronics, also some knowledge on using a soldering iron
  • Programming using some language (Visual Studio, Python)
  • Familiarity with Windows or Linux
  • Familiarity with Legos
  • Willingness to read manuals, Googling information, learning new things and solving hands-on problems.
  1. Manufacturing systems research group (MASYRE)
    Topic: Data collection, modelling and experimentation with the Wire Arc Additive Manufacturing (WAAM) process
    Multiple topics are available for trainees. They can be divided into two branches. A first branch of topics dedicated to the development of the WAAM process by integration on the platform of new sensors and development of design of experiments to print parts and collect data generated by the sensors.
    the second category of topics is trying to exploit the use of the data as well as the metadata to generate control models improving the stability and quality of the printing process.
    The manufacturing platform has a dual use and can also be employed for welding purpose.
    Interest areas for the trainees: The trainees interest areas can be varied but should integrate at least one of the following topics, manufacturing, additive manufacturing, process development, applied mathematics, Artificial intelligence, automation, data analytics, engineering design.
  2. Digital Design and Manufacturing (D2M)
    Research on optimization of digital design to manufacturing workflows:
    Passionate about shaping the future of engineering design, manufacturing, and sustainability? Join the D²M Laboratory as a Summer Trainee and work on exciting projects in one of these areas:
    1️⃣ Product Design: Advanced modeling (FEA, CFD, topology optimization) and data-driven simulations.
    2️⃣ Process Monitoring and Optimization: Additive manufacturing, hybrid processes, sensor-technologies, Deep-learning, and AI-driven optimization.

    3️⃣ Sustainable Manufacturing: Green digital twins, energy-efficient workflows, and sustainable manufacturing solutions.

  • What We Offer:

Hands-on experience with cutting-edge tools. Real-world research challenges in a collaborative environment. Skills development in computational mechanics, AI, and sustainability.

The possibility to shape your summer job into a M.Sc. thesis

  • What We’re Looking For:

Passion for innovation and interest in at least one area and curiosity and eagerness to explore interdisciplinary topics.

We do not expect that you are an expert in all these research areas, but your study record and personal interest need to relate to at least one RA, and you need to show interest in exploring other RAs. During the application, the summer trainee will need to specify his/her preferred research RA:

  • A detailed plan will be drafted after selecting the candidate

REQUIREMENTS:

We are looking for science and engineering students who enjoy problem-solving, have the ability to think independently and work in an international research environment, and possess good social and team working skills. Potential candidates include, for example, students in their 1st to 4th year who have successfully completed their studies, for example, in automation or mechanical engineering. A good command of both spoken and written English will be considered an advantage.

Responsibilities:

  • Conduct vulnerability analysis on wireless, mobile, or advanced computing systems.
  • Develop machine learning models for anomaly detection in industrial systems.
  • Explore Radio Frequency (RF) signal simulation and analysis.
  • Design fault-tolerant control strategies against sensor and actuator faults.
  • Validate secure and robust automation mechanisms using simulation tools


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Electrical/Electronic Manufacturing

Engineering Design / R&D

Other

Graduate

Proficient

1

Tampere, Finland