image_pdfimage_print

Sign Language Robot Hand – Internship Position

Supervisors:

Start date: Open

Duration: 3-6 months, depending on the level of applicant’s proficiency on the asked qualifications.

 

Qualifications

  • Basic skills in Python or C++
  • ROS
  • Basic skills in Machine Learning
 
Keywords: Sign Language, Robotics, Machine Learning

 

Description

The objective of this project/thesis is to train a robotic hand to perform the sign language.

Note: This project is also offered under the Integrated CPS project course or as M.Sc. Thesis

Abstract

Outcomes

Funding

Please contact us via cps@unileoben.ac.at if you want to join us for an internship.

We will support you during your application for an internship grant. Below we list some relevant grant application details.

CEEPUS grant (European for undergrads and graduates)

Find details on the Central European Exchange Program for University Studies program at https://grants.at/en/ or at https://www.ceepus.info.

In principle, you can apply at any time for a scholarship. However, also your country of origin matters and there exist networks of several countries that have their own contingent.

Ernst Mach Grant (Worldwide for PhDs and Seniors)

Rest Funding Resourses

Apply online at http://www.scholarships.at/

Internship Position – Mixed Reality Robot Teleoperation with Hololens 2

Description

Mixed Reality (AR) interface based on Unity 3D for intuitive programming of robotic manipulators (UR3). The interface will be implemented within on the ROS 2 robotic framework.

Note: This project is also offered under the Integrated CPS project course or as B.Sc or M.Sc. Thesis

Qualifications

  • Basic skills in Python or C++
  • ROS
  • Unity3D or C#
 
Keywords: Augmented Reality, Robotic Interfaces, Engineering, Graphical Design

Duration

Minimum 3 months. Preferably 5-6 months.

Abstract

Robots will become a necessity for every business in the near future. Especially companies that rely heavily on the constant manipulation of objects will need to be able to constantly repurpose their robots to meet the ever changing demands. Furthermore, with the rise of Machine Learning, human collaborators or ” robot teachers” will need a more intuitive interface to communicate with them, either when interacting with them or when teaching them.

In this project we will develop a novel Mixed (Augmented) Reality Interface for teleoperating the UR3 robotic manipulator. For this purpose we will use AR glasses to augment the user’s reality with information about the robot and enable intuitive programming of the robot. The interface will be implemented on a ROS 2 framework for enhanced scalability and better integration potential to other devices.

Outcomes

This internship will result to an innovative graphical interface that enables non-experts to program a robotic manipulator.

The intern will get valuable experience in the Robot Operating System (ROS) framework and developing graphical interfaces on Unity. The student will also get a good understanding of robotic manipulators (like UR3) and develop a complete engineering project.

Funding

Please contact us via cps@unileoben.ac.at if you want to join us for an internship.

We will support you during your application for an internship grant. Below we list some relevant grant application details.

CEEPUS grant (European for undergrads and graduates)

Find details on the Central European Exchange Program for University Studies program at https://grants.at/en/ or at https://www.ceepus.info.

In principle, you can apply at any time for a scholarship. However, also your country of origin matters and there exist networks of several countries that have their own contingent.

Ernst Mach Grant (Worldwide for PhDs and Seniors)

Rest Funding Resourses

Apply online at http://www.scholarships.at/

Internship Positions – Just contact us!

Please contact us via cps@unileoben.ac.at if you want to join us for an internship.

We support you when you apply for an internship grant. Below we list some relevant grant application details.

CEEPUS grant (European for undergrads and graduates)

Find details on the Central European Exchange Program for University Studies program at https://grants.at/en/ or at https://www.ceepus.info.

Country of origin

Albania; Bosnia and Herzegovina; Bulgaria; Croatia; Czech Republic; Hungary; Kosovo; Moldova – Republic of; Montenegro; North Macedonia; Poland; Romania; Serbia; Slovakia; Slovenia

Duration

1 to 10 months. Undergraduates need to stay at least 3 months. 

Grant benefit paid

For students and graduates without PhD EUR 1050 per month. For teachers with a PhD at most EUR 1150.

Application Deadlines and Online Application Link

Apply online at https://ceepus.info/

In principle, you can apply at any time for a scholarship. However, also your country of origin matters and there exist networks of several countries that have their own contingent. 

Ernst Mach Grant (Worldwide for PhDs and Seniors)

Country of origin

Worldwide.

Duration

1 to 9 months.

Grant benefit paid

For PhD students EUR 1050 and for senior researcher EUR 1150 per month

Application Deadlines and Online Application Link

Apply online at http://www.scholarships.at/

Max. age is 35 years. Forthcoming closing date for applicants is 01.02.2022. However, note that due to the pandemic applications may be processed at any time. 

1 Research Group Leader / Senior Researcher (Postdoc), 2211WPD

1 position for an independent research group leader or senior scientist at the Chair of Cyber-Physical-Systems in the Department of Product Engineering at the earliest possible date in a permanent employment. The initial contract will be limited to one year with the option of extension to a permanent position. Salary Group B1 to Uni-KV, monthly minimum charge excl. SZ.: € 4.061,50 for 40 hours per week (14 times a year).

Job Description

The group’s research topics are autonomous systems, machine and deep learning, embedded smart sensing systems and computational models. The senior researcher will work on one of these topics (or combinations of them), where a focus will be developed jointly based on the experience of the candidate. The researcher will be further engaged in teaching (e.g., student supervision), project management and funding applications.

What we offer

We offer a permanent research position with personnel responsibility in fascinating fields with the opportunity to develop your own research ideas, implement them independently, and supervise doctoral theses on your topics. Further, the researcher is part of a young and newly formed team, will acquire or consolidate leadership skills, and will receive targeted career guidance for a successful scientific career.

Requirements

Degree in computer science, machine learning, physics, electrical engineering, mechanics, robotics, or mathematics with a Ph.D. Experience in at least one of the topics of machine learning, neural networks, robot learning, or learning sensor systems. Willingness and ability to co-supervise scientific work in research including related publication activities. Programming experience in one of the languages C, C++, C#, JAVA, Matlab, Python, or similar. Further, the ability to work in a growing team, sociability, self-motivation, and reliability are required features of a candidate.

Desired additional qualifications

Scientific experience demonstrated through publications in international conferences and journals on machine learning, neural networks, robotics, or embedded systems. Good team-leading skills and the ambition to supervise doctoral students. Experience in obtaining external funding and in collaborating with industrial partners is advantageous but not a requirement. Excellent English skills and willingness to travel for research and to give technical presentations are required.

Application & Materials

A complete application includes a single pdf file with (1) a detailed curriculum vitae, (2) a letter of motivation with a reference to the desired field of research and teaching from the above-mentioned topics, (3) two letters of recommendation, (4) the Ph.D. thesis as PDF file or link, (5) all relevant certificates of prior education for bachelor’s, master’s and Ph.D. studies, (6) name, email and phone number of two additional references to contact, (7) previously published or submitted publications or patents as links or PDF files.

Application deadline:12.12.2022

Online Application via: Job portal of the university

The Montanuniversitaet Leoben intends to increase the number of women on its faculty and therefore specifically invites applications by women. Among equally qualified applicants women will receive preferential consideration. Scientific experience demonstrated through publications in international conferences and journals on machine learning, neural networks, robotics, or embedded systems. Good team-leading skills and the ambition to supervise doctoral students. Experience in obtaining external funding and in collaborating with industrial partners is advantageous but not a requirement. Excellent English skills and willingness to travel for research and to give technical presentations are required.