2-year Postdoc Fellowship in Bioinformatics of Paleogenomics and AI - Deadline February 1st 2024

Position Description

A postdoctoral stipend is available to study the paleogenomics of the Silk Roads. The position is sponsored by the Carl Trygger Foundation to the laboratory of Dr. Eran Elhaik at Lund University in the Department of Ecology. The Department of Biology is part of the Faculty of Science has approximately 1500 students, 330 PhD students and 700 employees.

Subject Description

Ancient DNA (aDNA) has revolutionized historical studies by allowing researchers to directly examine genetic variations from ancient populations, shedding light on human history in ways previously unattainable. This project seeks to harness the power of artificial intelligence (AI) to delve deeper into the stories embedded within ancient genetic material. Specifically, it focuses on developing cutting-edge machine learning tools to accurately predict the origins of aDNA samples and reconstruct the complex genetic histories of populations that thrived along the Silk Roads—one of humanity’s most significant trade and migration corridors. The Silk Roads not only facilitated the exchange of goods but also enabled the flow of ideas, technologies, and people across Eurasia, leaving behind a tapestry of genetic evidence. By integrating paleogenomics with advanced AI techniques, the project aims to uncover migration patterns, population structures, and the genetic impact of cultural exchanges over millennia. The selected candidate will collaborate closely with Dr. Eran Elhaik, a leader in population genomics and biogeographical research, to pioneer novel AI-based methodologies tailored for paleogenomic data. These tools will not only enhance the ability to trace migration routes but also provide insights into how ancient populations adapted to environmental and social changes. This interdisciplinary work promises to push the boundaries of historical genetics, offering a clearer view of the Silk Roads' role in shaping human diversity.

Work Duties

• Develop machine learning methods to localize ancient genomes, particularly for populations found along the Silk Roads.
• Collaborate with researchers in biomathematics, biostatistics, and molecular biology.
• Conduct independent research after a training period, including analyzing genomic data using machine learning and statistical methods.
• Present findings at international conferences and publish results in peer-reviewed journals.
• Opportunity to supervise Bachelor, Master, and Ph.D. degree projects.
• Optional teaching responsibilities, up to 16% of working hours.

Eligibility requirements

Applicants must have a Ph.D. or equivalent degree (within three years of the application deadline, with exceptions for special circumstances) in a relevant field such as machine learning, mathematics, biostatistics, or statistical genetics. Essential skills include:

• Proficiency in Python, R, and bash programming.
• Strong statistical skills and familiarity with machine learning frameworks.
• Experience analyzing large NGS datasets.
• Fluency in English and a proven ability to publish in peer-reviewed journals.
• Strong organizational, collaborative, and independent research skills.

Assessment Criteria

Candidates will be evaluated based on research qualifications, programming and writing skills, and their ability to communicate and collaborate effectively. Shortlisted candidates will undergo further evaluation, including an interview.

Terms of the stipend

The position is a full-time stipend and costs for the second year are only available after submission and approval from the funding Foundation based on a brief statement (1-2 pages) of the first year’s activities. Note that this is a tax-free stipend. The starting date of the position is planned to be March 1, 2025 or by agreement.

Application

Applications must be written in English and compiled into a single PDF file containing:

• A cover letter outlining your background, interests, goals, and proposed start date.
• Résumé/CV, including a list of publications.
• A research statement (maximum 3 pages) describing past and future research interests.
• Contact information for at least three references.
• Copies of degree certificates and transcripts (Ph.D., MSc, BA).

Email your application to eran.elhaik at biol.lu.se.

Incomplete applications will not be considered. Please feel free to contact Eran Elhaik if you have any questions regarding the application materials.