Kristin Reiche

Interdisciplinary Transformation University (IT:U) in Linz, Austria, is offering two full-time postdoctoral positions in Digital Molecular Medicine, with a start date of April 1, 2026 or later. IT:U is a new technical university dedicated to digital transformation, emphasizing interdisciplinary research and project-based learning. The positions are within the research group of Professor Kristin Reiche, a leader in Digital Molecular Medicine, whose work advances precision medicine by integrating biomedical data science, medical bioinformatics, research software engineering, and advanced molecular diagnostic tools. The research group focuses on digital transformation in molecular medicine, including machine learning for single-cell multi-omics and spatial cell biology, patient-individual in silico models for risk and pathogenesis prediction, molecular biomarker discovery and validation, and software engineering for medical bioinformatics. The group is particularly interested in advanced medical therapies such as adoptive cellular immunotherapies, aiming to develop innovative digital solutions to understand complex mechanisms of action and advance personalized treatment strategies. Postdoctoral researchers will contribute to research, academic publications, conference participation, interdisciplinary collaboration, academic teaching (up to 2 weekly credit hours), third-party funding applications, and adherence to academic standards and ethical guidelines. The positions offer opportunities to participate in the EU-funded CERTAINTY project, collaborate with clinical partners in immuno-oncology and oncology, and access international research networks in precision medicine and medical bioinformatics. International mobility, research stays at partner institutions, and professional development are supported. Applicants must hold a PhD or equivalent in computer science, bioinformatics, computational biological sciences, mathematics, physics, or related fields. Essential skills include machine learning, biomedical data science, programming (Python, R), ML/DL frameworks, Unix/Linux, Git, genetics, molecular biology, immunology, peer-reviewed publication record, communication, teamwork, and fluency in English. Preferred qualifications include experience in single-cell multi-omics or spatial transcriptomics data analysis, regulatory frameworks for medical bioinformatics, biomarker validation, and knowledge of virtual patient models or digital twin technologies. The positions offer competitive compensation starting from €6,700,000 yearly gross salary, flexible working hours, home office options, and a supportive, diverse, and innovative research environment. Applications are encouraged from all backgrounds. For further information, visit the CERTAINTY project website or apply directly via the IT:U career portal.

Interdisciplinary Transformation University (IT:U) in Linz, Austria, is inviting applications for three fully funded PhD positions in the Digital Molecular Medicine research group led by Professor Kristin Reiche. These positions are part of the Computational X Doctoral School, which promotes interdisciplinary research at the intersection of computational sciences, biology, and medicine. The Digital Molecular Medicine group focuses on digital transformation for precision medicine, with research areas including biomedical data science, medical bioinformatics, research software engineering, and advanced molecular diagnostics. Key topics include machine learning for single-cell multi-omics and spatial cell biology, patient-specific in silico models for risk and pathogenesis prediction, molecular biomarker discovery and validation, and software engineering for medical bioinformatics interoperability. PhD students will engage in translational research with real clinical relevance, collaborating with clinical partners in immuno-oncology and oncology, as well as international research networks such as the CERTAINTY project. The program offers a comprehensive training curriculum, opportunities for independent research, and the chance to publish and defend a PhD thesis. Students will also benefit from high-quality supervision and world-class research infrastructure. Applicants should hold a master's degree in a relevant field and demonstrate strong interdisciplinary interest, curiosity, teamwork, and fluent English skills. The position is fully funded for up to four years (30 hours/week), with a competitive salary starting from €3,714.80 per month (full-time, gross, 14 times a year), a free Austria Climate Ticket for public transportation, and complimentary coffee and snacks. To apply, candidates must submit an application form, CV, diplomas, transcripts, a motivational letter, and references via the official IT:U application portal. The application deadline is April 30, 2026. For more information and to apply, visit the official program page.

Interdisciplinary Transformation University (IT:U), Austria’s first public interdisciplinary university dedicated to digital transformation, invites applications for three PhD positions in Digital Molecular Medicine within the IT:U Doctoral School PhD Program. The positions are based in Linz, Austria, and will start in October 2026 under the supervision of Professor Kristin Reiche. The research group focuses on advancing precision medicine by integrating biomedical data science, medical bioinformatics, software engineering, and advanced molecular diagnostic tools. Research topics include machine learning for single-cell multi-omics and spatial cell biology, patient-individual in silico models for risk and pathogenesis prediction, molecular biomarker discovery and validation, and software engineering for medical bioinformatics. The group is particularly interested in innovative digital solutions for advanced medical therapies such as adoptive cellular immunotherapies, aiming to improve personalized treatment strategies. PhD students will participate in the EU-funded CERTAINTY project, which develops a cellular immunotherapy virtual twin for personalized cancer treatment, and collaborate with clinical partners in immuno-oncology and oncology. The lab maintains close collaborations with national and international research institutions, supports co-supervision with other IT:U founding professors, and offers opportunities for international mobility and exchange, including research stays at partner institutions in Europe and North America. The program provides a structured 4-year curriculum, with the first year focused on group work, research lab modules, and Project Integrated Courses (PICS), culminating in a PhD Proposal Presentation. Subsequent years involve thesis development, interdisciplinary seminars, and project assistant work, concluding with thesis submission and defense. Students will benefit from an innovative, interdisciplinary research environment, professional development opportunities, and direct clinical impact through translational research. Applicants must hold a Master’s degree (or equivalent) in computer science, bioinformatics, computational biological sciences, mathematics, physics, or related fields. Essential skills include machine learning, biomedical data science, programming in Python and/or R, familiarity with ML frameworks, Unix/Linux environments, Git version control, and knowledge of genetics, molecular biology, and immunology. Fluency in English (CEFR C1) is required. Preferred qualifications include experience in bioinformatics, computational biology, single-cell multi-omics, spatial transcriptomics, and deep learning frameworks. Funding includes a gross salary of EUR 2,832.10 per month (30h/week) in line with the FWF, optional supplementary contracts for teaching or research, complimentary office kitchen supplies, and the Austrian 'KlimaTicket OÖ' for unlimited public transport within Upper Austria. The positions are part-time and offer stimulating working conditions in a diverse and inclusive team. To apply, submit the online application form with your CV, diplomas, transcripts, motivational letter, and up to three contacts for recommendations. Applications are reviewed on a rolling basis, and candidates are encouraged to apply early. The call closes on 30 April 2026. For further information, contact Bettina Mairhofer, Teamlead for Student Administration, at [email protected].

Interdisciplinary Transformation University (IT:U) in Austria is offering three PhD positions in Digital Molecular Medicine as part of the Computational X program. IT:U is Austria’s first public interdisciplinary university dedicated to digital transformation for societal, economic, and environmental benefit. The positions are based in Linz and are supervised by Professor Kristin Reiche, whose research group focuses on advancing precision medicine by integrating biomedical data science, medical bioinformatics, software engineering, and advanced molecular diagnostic tools. The research scope includes machine learning for single-cell multi-omics and spatial cell biology, patient-specific in silico models for risk and pathogenesis prediction, molecular biomarker discovery and validation, and software engineering for medical bioinformatics interoperability. The group is particularly interested in innovative digital solutions for advanced medical therapies such as adoptive cellular immunotherapies, aiming to improve personalized treatment strategies. PhD students will participate in the EU-funded CERTAINTY project, which develops a cellular immunotherapy virtual twin for personalized cancer treatment ( www.certainty-virtualtwin.eu ). Collaborations extend to clinical partners in immuno-oncology and oncology, as well as other IT:U founding professors. International mobility is encouraged, with opportunities for research stays at partner institutions in Europe and North America, access to international research networks, and participation in leading conferences. The program offers a structured 4-year curriculum, starting with group work, lab modules, and Project Integrated Courses (PICS) in the first year, culminating in a PhD Proposal Presentation. Subsequent years focus on thesis development, interdisciplinary seminars, and project assistant work, ending with thesis submission and defense. Students contribute to academic teaching (up to 2 weekly credit hours) and support third-party funding applications. Applicants must hold a Master’s degree (or equivalent) in computer science, bioinformatics, computational biological sciences, mathematics, physics, or related fields. Essential skills include machine learning, biomedical data science, programming in Python and/or R, familiarity with ML frameworks, Unix/Linux and Git, understanding of genetics, molecular biology, and immunology, strong motivation, teamwork, independence, and English fluency (CEFR C1). Preferred qualifications are prior bioinformatics or computational biology experience, hands-on single-cell multi-omics or spatial transcriptomics data analysis, and familiarity with deep learning frameworks (PyTorch, TensorFlow). Successful candidates will benefit from innovative working conditions in an interdisciplinary, international environment, complimentary office kitchen supplies, and the Austrian “KlimaTicket OÖ” for unlimited public transport in Upper Austria. The gross salary is EUR 2,832.10 per month (30h/week), with optional supplementary contracts for teaching or research up to 10 hours. Diversity and inclusion are actively promoted. To apply, submit the online application form with your CV, diplomas, transcripts, motivational letter, and up to three contacts for recommendations. Applications are reviewed on a rolling basis until the call closes on 30.04.2026. For questions, contact Bettina Mairhofer ([email protected]), Teamlead for Student Administration.