University Assistant Prae-Doc (all genders) 40 hours/week | limited to 4 years – Institute of Logic and Computation

TU Wien is Austria’s largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching, and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto “Technology for People”. As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society.
At the Institute of Logic and Computation, in the Research Unit of Artificial Intelligence Techniques TU Wien is offering a position as university assistant (prae-doc) to work in the Cluster of Excellence “Bilateral AI” limited to expected 4 years for 40 hours/week. You will work on artificial intelligence (AI) inspired by multimodal large language model towards the development of novel multimodal AI systems by using insights from large language model research. This research aims to overcome limitations in current multimodal AI approaches in order to improve the application of multimodal AI and machine learning systems to real-world problems (especially in medical domains). You will develop next-generation AI models based on large language model techniques, focusing on multimodal generation areas, such as (but not limited to) image captioning, medical report generation, and visual question answering. You will develop novel AI algorithms and systems inspired by and using insights from large language models for integrating various multimodal data sources (like images, texts, and medical records) to push the boundaries of AI in healthcare domains. This research belongs in particular to and will be done in collaboration with the researchers of the modules RM6 (Explainable AI) and RM8 (Demonstration and benchmarking) of “Bilateral AI”.

Tasks:
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– Collaboration on research and teaching tasks as well as examinations
– Cooperation and guidance of students
– Research and project activity
– Writing a dissertation and publications
– Participation in scientific events
– Assistance/Collaboration in organizational and administrative tasks

Your profile:
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– Completion of a master or diploma curriculum in one of these fields: computer science, artificial intelligence, or related discipline
– Skillful and responsible in experimental work
– Experience in the following scientific fields: multimodal model development, particularly in medical domains (preferably with published papers), and possess good (theoretical and programming) background in deep learning and neural networks (desirably in reinforcement learning, contrastive learning, image captioning, and medical report generation), as well as good programming skills (especially in model architecture and experimental evaluations)
– Very good skills in German and English communication and writing. Knowledge of German (level B2) or willingness to learn it
– Interest in research in the field as well as supervision and work with students
– Very good communicative skills and team competences and innovative ability

We offer:
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– A wide variety and exciting range of tasks in a collegial team
– Flexibility in working time arrangements
– A range of attractive social benefits (see Fringe-Benefit Catalogue of TU Wien)
– Wide range of internal and external training opportunities, various career options
– Central location of workplace as well as good accessibility (U1/U4 Karlsplatz)
Entry level salary is determined by the pay grade B1 of the Austrian collective agreement for university staff. This is a minimum of currently EUR 3,714.80/month gross, 14 times/year for 40 hours/week. Relevant working experiences may increase the monthly income. We look forward to receiving your application until February 27th, 2025.
TU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour. People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter.
If you have any questions, please do not hesitate to contact us Carmen Keck | T: +43 1 588 01 406201 Here you can find also relevant information about the application process.