Research assistant / summer trainee (Automation Technology and Mechanical Engineering Unit), 12 positions / Tutkimusapulainen / kesätyöntekijä (Automaatio- ja konetekniikan yksikkö), 12 tehtävää

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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.

• FAST-Lab
  
  

As summer trainee, you will take part in reorganising FAST-Lab’s research and teaching laboratory and creating the related safety policies. Your tasks will involve robotics, automation, integration and programming. In the field of robotics, you will also perform tasks relating to collaboration between a mobile robot and an industrial robot (safety, communication and mechanics).

• Innovative Hydraulics and Automation
  
  

Skills

Summer trainee in IHA Zonal hydraulics group will Improve her/his simulation and practical skills! A trainee will work on the further development of electro-hydraulic hydraulics concept and AI-based condition monitoring for the electric and hybrid off-road mobile machinery, assist with following:

• Hybrid off-road machinery Digital twin integration to (Matlab&Simulink, Amesim, Mevea, Labview) Hardware in the loop (HIL) simulator, development of electro-hydraulic actuator concepts (Twincat, Beckhoff, Codesys)
• Transparent cylinder test rig, capture cavitation with high-speed camera (Matlab&Simulink, Dspace)
• High voltage Hybrid test rig, commissioning of electric motors (Matlab&Simulink, dSpace, Bosch Rexroth)
• sWille hybrid wheel loader, development of controllers and power management systems
• Accelerated pump test rig & AI-based Remaining useful life methodologies
• Intelligent Networked Systems (IINES) group
  
  

IINES group is currently developing a Networked Robotics Laboratory (NeBoLab) for research and teaching purposes. The lab consists of multiple nano-quadcopters and ground mobile robots which allows evaluation/demonstration of different scenarios related to smart-mobility and distributed robotic networks.

The summer job is a hands-on experience in improving the existing experimental setup and visualization in the Nebolab with the goal of developing a framework which allows a smooth transition from simulation to implementation in our experimental system using both the ground mobile robots and nano-quadcopters. You will also have the opportunity to test the system that you developed using various autonomous robotic control algorithm, see for example the demo in our lab: https://www.youtube.com/@tuni-iines . This position is highly suitable for students passionate about robotics and looking to apply their skills (e.g., ROS2, Python programming) in a real-world, cutting-edge setting.

• Dependable Systems Automation CyberLab
  
  

Required

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.
• 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.

• 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.

Preferred

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
• Tuotekehitys (Konetekniikka)
  
  

Kesäopetus ja opintojaksojen verkkoympäristön kehittäminen.

Työ Sisältää Kolme Eri Osa-aluetta

• kurssin Mallinnus ja dokumentointi KONE.110 harjoitusten pitämistä ja harjoitustöiden tarkastamista.
• kurssin KONE.110 Moodle-sivun kehitystä (eteneminen, tenttivaihtoehdot, jne.)
• Kurssin Luova ongelmanratkaisu ENS.510 Klubi-alustan ja Moodle-sivun kehitystä.
  
  

Tavoitteena on luoda kesän aikana päivitetyt versiot kurssien oppimisalustoista, joten molemmat kurssit tulee olla suoritettuna ja KONE.110 hyvällä arvosanalla.

• Cognitive Robotics
  
  

As summer worker you will be working on different topics from research projects, related to robotics, human-robot collaboration and visual perception: Cognitive Robotics at Tampere University. Your tasks will be evaluation of different tools, developing automated scripts for evaluation and reporting. This will give you hands-on experience in robotics, by programming with ROS and C++/Python.

• The Dependability and Automation Research in Cyber-Physical Systems (DARES) Group
  
  

DARES Group is committed to advancing the dependability and robustness of cyber-physical(-social) systems. Our research focuses on integrating intelligent monitoring, diagnostics, and control solutions to create robust and secure automated environments. We contribute to fields where safety, security, reliability, availability, and resilience are paramount, enabling us to address complex challenges in modern industrial and societal infrastructures.

Role

As a summer trainee in the DARES Group, you will engage in a hands-on project aligned with your interests and our group’s expertise. This role offers the opportunity to contribute to ongoing research in dependable automation while gaining valuable experience in developing innovative solutions for system resilience. Prospective trainees can focus on one of the following areas, selected based on their interests:

• 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.
  
  

The trainee will work under the guidance of experienced researchers and have access to state-of-the-art tools and resources, fostering skill development in dependable automation and system resilience.

• Tribology of machine elements (machine design)
  
  

The research group focuses on tribological (friction, wear, lubrication, damage) analysis of machine elements. The experimental work will include different tasks that will be carried out in the tribology laboratory (Konetalo, Hall 2), to support on-going industry-based research. The work can include tasks such as preparing and carrying out tests using a machine element related laboratory device and analyzing as well as reporting the results. Working in the laboratory environment is a great opportunity to get familiar with experimental research work and commonly used measurement methods. It is also possible to do design and development work relating to test devices, depending on the trainee’s willingness.

• Machine dynamics (machine design)
  
  

As a summer trainee in the Machine Design Group, you will be trained to use numerical multibody simulation models and analytical mathematical formulations to conduct stability analysis of a high-speed rail vehicle. Your research will focus on identifying the causes of ultra-low frequency instability, such as car body swaying and hunting motion, in railroad vehicles. Familiaring with multibody dynamics and vehicle dynamics is a big plus.

• Advanced Learning, Control and AutomatioN (ALCAN) Research Group
  
  

Our group develops solutions for one of the greatest challenges in control of systems: safe and robust operation in all settings, especially for those directly interacting with humans such as autonomous vehicles, industrial machines operating around workers, and service robots among crowds. Optimizing a system’s performance and safety over time requires designing controllers that can (i) effectively handle uncertain and/or time-varying dynamics and (ii) adapt to changing conditions. Our group conducts research at the intersection of learning and control that address these challenges in robotics and automation.

As a summer trainee, you will have an opportunity to contribute to research studies conducted in our group on autonomous mobile manipulation. Your role would include implementation of machine learning and optimal control methods in both simulation and real robots. Great programming skills (Python and maybe C++) are a must-have. Familiarity with machine learning and optimal control frameworks such as torch, Jax, Casadi is a big plus.

• Autonomous Mobile Machines research group
  
  

Practically relevant, theoretically solid, we are building future of the autonomous machines.

We Do

• Robotics for autonomous (heavy) working machines in forest, construction, and logistics applications.
• Advanced control, integrated perception and control, software and safety, drive and manipulation
  
  

Tasks are typically related to hardware and software development, working with simulators, and real machines or state of the art sensors.

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.

We Offer

The summer trainee programme is a perfect opportunity to join a vibrant, international and multicultural research environment and gain first-hand insights into the world of research. Becoming a summer trainee is also an ideal occasion to get involved in cutting-edge research. Summer trainees will be encouraged to discuss potential BSc and MSc thesis topics relating to their traineeship with professors at ATME. In fact, most of our summer trainees stay with us to earn a master’s degree and later continue their studies towards a PhD.

The salary will be based on both the job demands and the employee’s personal performance in accordance with the Finnish University Salary System. According to the criteria applied to teaching and research staff, the position of research assistant is placed on the job demand level 1. In addition, employees will receive performance-based salary, which in the case of research assistants is based on the number of credits they have earned towards their degree. A typical starting salary for research assistant is approximately 2200 euros / month.

How To Apply

Please submit your application by filling out the online application form. The closing date for applications is 19th February 2025 (23.59 EET / UTC +2).

Applications and attachments must be written in English and provided in pdf format. The required attachments are

• CV
• a letter of motivation and
• a transcript of studies.
  
  

You can apply for multiple positions by submitting a single application form. In your application, please indicate your preferred research area in the application form.

For More Information, Please Contact

FAST-Lab: Matti Aarnio [email protected]

Innovative Hydraulics and Automation: Tatiana Minav [email protected] and Mikko Huova [email protected]

Intelligent Networked Systems (IINES) group: Azwirman Gusrialdi [email protected]

Dependable Systems Automation CyberLab: Jari Seppälä [email protected] or Mikko Salmenperä [email protected]

Manufacturing systems research group (MASYRE): Eric Coatanéa [email protected]

Digital Design and Manufacturing (D2M): Inigo Flores Ituarte [email protected]

Tuotekehitys (Konetekniikka) Mikko Vanhatalo [email protected]

Cognitive Robotics: Roel Pieters [email protected]

Tribology and design of machine elements (machine design): Janne Juoksukangas [email protected]

Machine dynamics (machine design): Xinxin Yu [email protected]

Advanced Learning, Control and AutomatioN (ALCAN): Gokhan Alcan [email protected]

Autonomous Mobile Machines research group: Reza Ghabcheloo: [email protected]

Questions about the recruitment process: HR Specialist Ilona Pekuri ilona.pekuri(at)tuni.fi.

Tampereen yliopisto ja Tampereen ammattikorkeakoulu muodostavat yhdessä Suomen toiseksi suurimman monitieteisen, innostavan ja vaikuttavan tutkimus- ja oppimisyhteisön. Korkeakouluyhteisömme osaamiskärjet ovat tekniikka, terveys ja yhteiskunta. Lue lisää: www.tuni.fi

Automaatio- ja konetekniikan yksiköllä on avoinna 12 tutkimusapulaisen tehtävää.

Tehtävät liittyvät tutkimusryhmissä tehtävään tutkimukseen. Tutkimusryhmiä ovat mm. FAST-lab, Innovatiivinen hydrauliikka ja automaatio, modulointi, mekatroniikan tutkimusryhmä ja prosessien säädön ryhmä. Tutkimusryhmissä kesäharjoittelijat työskentelevät mm. robotiikan, automaation, järjestelmäintegroinnin, ohjelmoinnin ja numeeristen algoritmien parissa. Yksikön tavoitteena on tarjota tasapainoisesti sekä perustutkimukseen että teolliseen soveltavaan tutkimukseen liittyviä tehtäviä.

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Hakuaika tehtävään päättyy 19.02.2025 klo 23:59.