WA 30/24 - COMPUTER SCIENTIST bei Zuse Institut Berlin

Are you looking for a new professional challenge? Then this is the place to be! Become part of our international team!
August 8th 2024

The Zuse Institute Berlin (ZIB) is a non-university research institute under the public law of the state of Berlin. Within the research group “Computational Diagnosis & Therapy Planning” of the department “Modelling and Simulation of Complex Processes” we are offering a position for a

Computer Scientist (f/m/d)
Reference Code: WA 30/24
Pay grade E13 TV-L Berlin – 100%
With an opportunity to start at the earliest possible date, this vacancy offered is a fixed-term contract for the duration of the project which was approved for a 3-year funding period.

Ihr Aufgabengebiet:

Background

We are looking for a research assistant for a sub-project in an interdisciplinary research unit funded by the German Research Foundation (DFG FOR 2804), in which clinicians, material scientists and computer scientists are jointly researching the improvement of dental restorations. Within the sub-project, causes for failures in root canal treatment are to be investigated with the help of high-resolution 3D imaging techniques, image analysis, morphological analysis, and machine learning. Based on specimen prepared ex-vivo by clinical partners, common patterns of failures are to be identified and correlations between treatment parameters, root morphology, and failures are to be investigated.

Job description

• Independent research and development on the above-mentioned topic

• Development, implementation, testing, and application of innovative approaches according to the scientific state of research

• Active interdisciplinary cooperation with project partners

• Participation in project management and project coordination

• Goal-oriented scientific work

• Publication of results in conference papers and journal articles

You will work in a team of scientists and can benefit from experience and scientific exchange. A connection between the project work and a doctoral project is desired and supported.

Ihr Profil:

University master’s degree in computer science, mathematics or comparable subjects

Programming experience preferably in C++ or Python and daily use of Linux

Strong interest in application-oriented, interdisciplinary research and practical implementations

Knowledge in image processing and data analysis

Interest in large data image processing – segmentation, registration, and machine learning

Interest in geometry processing and morphological analysis

Interest in parametrization/flattening/dimension reduction and scientific visualization

Very good knowledge of the English language

Additionally, you have

excellent teamwork and communication skills,

a high degree of independence and commitment as well as

the ability and willingness to write scientific publications on an international level.

We are offering an active onboarding process to provide new employees with the skills and knowledge that are important for their success in our institute and their career. We offer a family-friendly working environment through flexible working and meeting hours

as well as

comprehensive training in a competent and cooperative team,

an additional pension scheme (VBL),

30 days annual leave, additionally free from work on December 24th and 31st,

compatibility of work and family through flexible working hours, e.g. (flexitime),

a salary in accordance with TV-L (Collective Agreement for the Public Service of the Federal States), taking into account the relevant professional experience,

an allowance of up to €150 per month, alternatively a discounted BVG (public transport) ticket + difference amount,

an end-of-year bonus

and the use of canteens and sports programs of the Freie Universität Berlin (FUB) at reduced rates.

Although this position advertised is full-time, a part-time agreement is also possible.

Female applicants are highly encouraged to apply. Since women are underrepresented in information technology, the ZIB is trying to increase the proportion of women in this research area.

Applicants with disabilities will be given preference i