{"id":2551,"date":"2024-08-21T09:01:31","date_gmt":"2024-08-21T07:01:31","guid":{"rendered":"https:\/\/it-u.at\/?post_type=study-program&p=2551"},"modified":"2026-03-30T14:39:39","modified_gmt":"2026-03-30T12:39:39","slug":"phd-computational-x","status":"publish","type":"study-program","link":"https:\/\/it-u.at\/en\/study-program\/doctoral-school\/phd-computational-x\/","title":{"rendered":"Computational X"},"content":{"rendered":"\n
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program description<\/a><\/div>\n\n\n\n
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IT:U Doctoral School<\/h2>\n\n\n\n

PhD Positions in Computational X<\/h3>\n\n\n\n

All PhD positions are full-time, 4 years, on-site in Linz<\/p>\n<\/div>\n<\/div>\n\n<\/div>\n\n \n <\/div> \n \n<\/div>\n\n\n

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Program Description:<\/h2>\n\n\n\n

The PhD program Computational X promotes interdisciplinary research facilitating the convergence of natural sciences like biology, social sciences and humanities with computational sciences. The program supports junior researchers in developing their abilities to perform independent scientific research.<\/p>\n\n\n\n

PhD students will acquire a comprehensive range of computational skills and methods, ranging from data science to artificial intelligence to robotics, as well as a solid core of 21st century skills. This will empower students to transform their respective disciplines with computational methods and explore frontiers in the digitalization of natural sciences, social sciences and humanities. Through the interdisciplinary approach, researchers are enabled to develop, implement, and execute innovative solutions to current societal challenges. This contributes to the digital transformation of science, economy, and society.<\/p>\n\n\n\n

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Research groups:<\/h2>\n<\/div>\n\n\n\n
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Human Rights and Technology<\/h3>\n

Ben Wagner<\/p>

:read more<\/div>\n<\/a><\/div>
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Human-Computer Interaction<\/h3>\n

Christopher Frauenberger<\/p>

:read more<\/div>\n<\/a><\/div>
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Game Theory and Evolutionary Dynamics<\/h3>\n

Christian Hilbe<\/p>

:read more<\/div>\n<\/a><\/div>
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Natural Language Processing<\/h3>\n

Yufang Hou<\/p>

:read more<\/div>\n<\/a><\/div>
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Machine Learning in Earth Science<\/h3>\n

Daniel Klotz<\/p>

:read more<\/div>\n<\/a><\/div>
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Intelligent User Interfaces<\/h3>\n

Philipp Wintersberger<\/p>

:read more<\/div>\n<\/a><\/div>
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Computational Neuroscience<\/h3>\n

Jie Mei<\/p>

:read more<\/div>\n<\/a><\/div>
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Geosocial Artificial Intelligence<\/h3>\n

Bernd Resch<\/p>

:read more<\/div>\n<\/a><\/div>
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Complex Systems and Network Science<\/h3>\n

Tiago de Paula Peixoto<\/p>

:read more<\/div>\n<\/a><\/div>
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Explainable Artificial Intelligence\u00a0<\/h3>\n

Nina Hubig<\/p>

:read more<\/div>\n<\/a><\/div>
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Energy Transition and Climate Futures\u00a0<\/h3>\n

Falko Ueckerdt<\/p>

:read more<\/div>\n<\/a><\/div>
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Quantum Information and Quantum Technologies<\/h3>\n

Beatrix C. Hiesmayr<\/p>

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Regulatory Technology (RegTech)<\/h3>\n

Vladislav Fomin<\/p>

:read more<\/div>\n<\/a><\/div>
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Computational Medicine Research Lab<\/h3>\n

Spiros Denaxas<\/p>

:read more<\/div>\n<\/a><\/div>
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Acoustics, Analysis and AI (3AI)<\/h3>\n

Peter Balazs<\/p>

:read more<\/div>\n<\/a><\/div>
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Smart Sensing and Systems Laboratory (S\u00b3 Lab)<\/h3>\n

Michele Magno<\/p>

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Secure and Resilient Infrastructures\u00a0<\/h3>\n

Johanna Ullrich<\/p>

:read more<\/div>\n<\/a><\/div>
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INSYT: Intelligent Systems for Sustainable Innovation<\/h3>\n

Kimberly Garcia<\/p>

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:read more<\/div>\n<\/a><\/div>
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More-than-Human Design and Regenerative AI<\/h3>\n

Iohanna Nicenboim<\/p>

:read more<\/div>\n<\/a><\/div>
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Transforming Economies Lab<\/h3>\n

Frank Neffke<\/p>

:read more<\/div>\n<\/a><\/div>
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Digital Molecular Medicine<\/h3>\n

Kristin Reiche<\/p>

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AI & Machine Learning Based Sustainability Policy<\/h3>\n

Elisabeth Gsottbauer<\/p>

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responsibilities and tasks<\/h2>\n\n\n\n

As a PhD student, you acquire new skills within our training program and benefit from high quality supervision. You will develop your own research agenda and conduct interdisciplinary research increasingly independent over the four years. You will also gain valuable educational experience by having the opportunity to teach other students in your field of expertise. You will write and publish several research papers, culminating in writing and defending your PhD thesis. To achieve all of this, you are embedded in an inspiring and supportive environment with world-class research infrastructure at your disposal at our campus in Linz, Austria.<\/p>\n\n\n\n

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skills and qualifications<\/h3>\n\n\n\n

You completed your master\u2019s degree (for PhD positions) in any field that can be located within the thematic landscape of each research focus. You feel uneasy about being put into a single disciplinary drawer and thrive in interdisciplinary environments. You are driven by curiosity and a team player. You have fluent English communication and academic writing skills. <\/p>\n\n\n\n

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what you can expect<\/h3>\n\n\n\n

We value your work! We offer a gross salary in line with the market from \u20ac 2.832,10 for PhDs on a 30-hour full-time basis (gross, 14 times a year). Our employees also benefit from \u201cKlimaTicket O\u00d6<\/a>\u201d (unlimited travel on all public transportation within Upper Austria). And of course, your coffee and snacks are on us.<\/p>\n\n<\/div>\n\n \n <\/div> \n \n<\/div>\n\n\n

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PhD:<\/h3>\n\n\n
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ENGLISH<\/div><\/div>
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8 SEMESTERS<\/div><\/div><\/div> <\/div>\n\n\n\n
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contact person<\/h5> \n Student Administration Team<\/strong>\n

<\/p>\n\n study@it-u.at<\/a><\/div>\n<\/div>\n\n \n <\/div> \n \n<\/div>\n<\/div>\n <\/div>\n<\/div>\n\n\n

Application<\/h2>\n\n\n\n

To apply, please fill in the IT:U application form and upload your files:<\/strong><\/p>\n\n\n

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