Learning and Intelligent Systems @ TU Berlin

AI Course Tutor

We’re usually offering the Bachelor “Intro to AI” course every summer. This year it hinges on whether we can find student tutors. As a tutor you would hold a weakly tutorial session (with about 30 students), alternating between tutorials discussing the exercise sheets and coding assignments. You’d be hired centrally by the faculty. Please contact Mrs Cicchetti-Nilsson: i.cicchetti-nilsson@tu-berlin.de if you’re interested.

Several Student Research Assistant positions in AI for surgery – deadline: Jan 17

In a cooperation project with the Charité clinic we aim to develop methods that predict a successful surgery. In essence, given a CT of a fractured bone, predict which actions are to be made and what the CT would look like after a successful operation. Methodologically, the project will have to use 3D image processing, learning and optimisation methods.

Specific tasks include:

Support us in the development of 3D CT image processing methods, learning algorithms for the prediction of reconstructed fractures, and of optimisation methods for surgical planning.
Support us in the development of software interfaces that can be used by non-experts (doctors).
Support us with the project’s software infrastructure.
General support of the team in the development of AI methods created at our department.

Desired skills:

Very good mathematical foundations (esp. linear algebra, numerical algorithms, machine learning),
Very good programming skills (Python and/or C++), esp. in the context of machine learning and image processing (e.g. pyTorch); Linux skills
Reliability, self-reliance and ability to work in a team; excellent written and spoken English skills.

Application: Please send your application (preferably in English) with the following documents in a single PDF document and with the subject line ‘application SA position IV-SB-0067-2023’ to Mrs Cicchetti-Nilsson: i.cicchetti-nilsson@tu-berlin.de:

Cover letter with links to examples of some previous written and/or practical work (e.g. link to your BSc/MSc thesis or a project report, and/or link to a GitHub repository).
Curriculum vitae

PAST – 1 PostDoc position in Robotics & AI – deadline: Oct 20

The Learning & Intelligent Systems Lab @ TU Berlin is seeking for PostDoc candidates with a strong track-record in AI & robotics research. The state-funded position is independent from pre-defined projects and therefore provides freedom to pursue own research ideas within our scope, as well as to raise own funding for PhD positions or an own sub-group led by the researcher (e.g. via DFG). The position also includes teaching responsibilities, and candidates should be highly motivated to offer great education in AI & Robotics to our students. While there are long-term options (esp. when own funding is raised), the current position is initially limited to 2.5 years.

The Learning & Intelligent Systems Lab (https://argmin.lis.tu-berlin.de/) focuses on research in the field of AI and Robotics, in particular methods that combine AI planning, machine learning and optimization to solve fundamental problems in Robotics and AI. The department is part of the Cluster of Excellence Science of Intelligence and the ELLIS network.

Please send your application with the following documents in a single PDF with the subject line ‘application PostDoc position IV-606/23’ to Mrs Cicchetti-Nilsson: i.cicchetti-nilsson@tu-berlin.de:

a cover letter with google scholar link,
a list of references (name and Email of senior researchers you’ve worked with that we can directly contact for a reference letter),
a CV with list of publications,
and study/graduation certificates.

The application deadline is Oct 20, 2023. Please contact me (toussaint@tu-berlin.de) and i.cicchetti-nilsson@tu-berlin.de if you have any questions regarding the position.

PAST – 1 PhD position in AI for surgery (collaboration Charite clinic) – deadline: Aug 11

The Learning & Intelligent Systems Lab @ TU Berlin is seeking for a PhD candidate with a strong background in AI, ML & image processing. The project will investigate the application of AI methods in surgery, specifically the application of 3D image processing, learning and optimization methods for the planning of complex surgical operations, and offers a very interdisciplinary research environment in direct cooperation with surgeons and radiologists of the Charité clinic. Note that the project is not directly about robotic surgery, but rather about medical reasoning. The 3 years position offers the possibility of a PhD in the subject.

In your application, please include

a direct pdf link to your MSc thesis, and optionally to an additional an exemplary piece of work of yours (e.g. paper, tech report, preprint) – please only direct pdf links (or attach the full pdf)
a cover letter,
a CV with list of publications, theses, and reports (with pdf links),
a list of references (name and Email of senior researchers you’ve worked with that we can optionally contact for a reference letter),
and study/graduation certificates.

The application deadline is Aug 11, 2023. Please submit applications as a single pdf with subject ‘application PhD position IV-230/23’ to: i.cicchetti-nilsson@tu-berlin.de

Please contact me (toussaint@tu-berlin.de) and i.cicchetti-nilsson@tu-berlin.de if you have any questions regarding the position.

PAST – 1 PhD position on efficient robotic manipulation, collaboration with Amazon – deadline: June 16

The Learning & Intelligent Systems Lab @ TU Berlin is seeking for a PhD candidate with a strong background in AI & robotics. The project (a cooperation with Amazon Robotics) investigates the application of optimization, learning and robotics methods for planning highly efficient object manipulation by robots, and offers a very interesting research environment in cooperation with Amazon Robotics. The position offers the opportunity to pursue a PhD in this topic.

Requirements:

Successfully completed university studies (Master, Diplom or equivalent) in computer science or a similar technical subject.
Ideally in-depth knowledge of robotics motion planning, robotics manipulation, and optimization methods.
Programming experience in the context of the aforementioned methods.
Very good command of English.

In your application, please include:

a cover letter,
a list of references (name and Email of senior researchers you’ve worked with that we can directly contact for a reference letter),
a CV with list of publications or theses/reports (the latter with pdf or pdf links),
and study/graduation certificates.

The application deadline is June 16, 2023. Please submit applications as a single pdf with subject ‘application PhD position IV-337/23’ to: i.cicchetti-nilsson@tu-berlin.de

Please contact me (toussaint@tu-berlin.de) and i.cicchetti-nilsson@tu-berlin.de if you have any questions regarding the position.

PAST – 4 SHK (student assistant) positions in robotics

The official announcement can be found on tubCloud and hopefully also soon at Ausschreibungsdatenbank. Here some more info:

With these positions I’m trying to have a group of students in my lab that generally help out with technical things, but also have fun with working with robots and/or robotics software and will have access to our robotics lab also for own ideas/projects.
‘Technical things’ mostly means realizing practical demos, including showcasing methods found in the literature or methods we develop in our lab. Also coming up with novel demonstration scenarios. Eventually the aim is to make the most interesting/impressive demos of what robotics algorithms can do.
That will require proper understanding of the methods (yes, also maths/background!), but typically require substantial coding (mostly in C++), and sometimes also setting up novel robotics or sensor hardware. Different students can have different strengths in this.
Team work is encouraged – so if you/we will have ideas about larger demos, self-organizing yourself as a team will be necessary.

Application deadline is Feb 15, 2023. For any question, please contact me personally after the Optimization lecture (Tue 14-16, MAR 0.011) or via office@lis.tu-berlin.de. Please see the official document on how to submit your application.