Tenure Track Ass. prof, Associate Prof and Professor of High Performance Computational Genomics

About the role

The Globe Institute at the Faculty of Health and Medical Sciences, University of Copenhagen, invites applications for a tenure-track assistant professor level, associate professor level or full professor position in High Performance Computational Genomics, particularly for ancient and environmental DNA.

Responsibilities

• Build an independent and collaborative research profile, including peer-reviewed publications of the results.
• Develop and apply high-performance computational methods and tools for genomic data analysis, particularly in the context of ancient environmental DNA.
• Research leadership, including guidance and supervision of researchers.
• Engage in research-based teaching and mentoring at the undergraduate and graduate levels, fostering a diverse and inclusive learning environment.
• Participate in a formal pedagogical training programme for assistant professors.
• Active participation in the local scientific community, particularly with respect to community service within the Institute.
• Engage in public outreach and science communication, both internally and externally of the Institute.
• Contribute to the development of the computational genomics research environment at the Globe Institute and the wider University.

Requirements

• A Ph.D. or similar in Bioinformatics, Computational Biology, Computer Science, or a related field.
• An academic standing showing internationally competitive research, and/or internationally recognized high potential to make a future impact.
• A proven track record of research excellence as evidenced by publications, open-source bioinformatics software tools, or other impactful research projects.
• Experience with high-performance computing, algorithm and method development, or large-scale genomic data analysis and visualization.
• Expertise in computational genomics, particularly with respect to metagenomics, environmental DNA, ancient DNA, population genomics, phylogenetics, pangenomics, or other areas of high-throughput computational biology.
• An interdisciplinary research portfolio that connects computational biology with other scientific domains, such as ecology, evolution, or climate science.
• Excellent interpersonal and communication skills.
• A commitment to teaching, mentoring, and community service in a university setting.
• A high degree of original academic production at an international level, including considerable contributions to the development of the academic discipline.
• Manage research and other management functions, e.g., engage in the university’s external academic activities, as well as knowledge and technology transfer.

Qualifications

• A Ph.D. or similar in Bioinformatics, Computational Biology, Computer Science, or a related field.
• An academic standing showing internationally competitive research, and/or internationally recognized high potential to make a future impact.
• A proven track record of research excellence as evidenced by publications, open-source bioinformatics software tools, or other impactful research projects.
• Experience with high-performance computing, algorithm and method development, or large-scale genomic data analysis and visualization.
• Expertise in computational genomics, particularly with respect to metagenomics, environmental DNA, ancient DNA, population genomics, phylogenetics, pangenomics, or other areas of high-throughput computational biology.
• An interdisciplinary research portfolio that connects computational biology with other scientific domains, such as ecology, evolution, or climate science.
• Excellent interpersonal and communication skills.
• A commitment to teaching, mentoring, and community service in a university setting.
• A high degree of original academic production at an international level, including considerable contributions to the development of the academic discipline.
• Manage research and other management functions, e.g., engage in the university’s external academic activities, as well as knowledge and technology transfer.