Lund University, Faculty of Science, Department of Biology
Lund University was founded in 1666 and is repeatedly ranked among the world's
top 100 universities. The University has around 44 000 students and more than
8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts
to understand, explain and improve our world and the human condition.
The Faculty of Science conducts research and education within Biology,
Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental
Science. The Faculty is organized into nine departments, gathered in the
northern campus area. The Faculty has approximately 1500 students, 330 PhD
students and 700 employees.
Doctoral student in Computational Biology
Ancient DNA (aDNA) has changed history studies, enabling us to analyze early
genetic variation directly. In recent years, there has been a sharp increase
in the amount of collected aDNA and high-profile investigations. Still,
insufficient information about the timing and geographical origin has limited
the usefulness of the collected data and resulted in many erroneous reports.
The project aims to develop machine learning tools to date aDNA and predict
the geographical origin of the DNA material. The methods will be used to
reconstruct the origin of domestic horses and their contribution to the
success of Scandinavian Vikings.
Candidates are expected to be interested in biology and history alongside
solid computational skills with a background in statistics, physics, computer
science, and/or a related field. Candidates are also expected to have
fundamental knowledge and experience with Machine Learning methods. The
candidate will work jointly with Dr. Eran Elhaik, Dr. Patrik Eden, and Prof.
Eske Willerslev (at the University of Copenhagen) to develop statistical
methods for a project in population genetics.
This is a multi-disciplinary project involving programming and modeling. In
addition, the project will involve collaborations with researchers in other
disciplines, including biomathematics, biostatistics, and molecular biology.
The candidate is expected to have a strong grounding in programming in R and
The main duties of doctoral students are to devote themselves to their
research studies which include participating in research projects and third
cycle courses. The work duties can also include teaching and other
departmental duties (no more than 20%).
A person meets the general admission requirements for third-cycle courses and
study programs in biology if he or she:
has been awarded a graduate degree (second-cycle), or
has satisfied the requirements for courses comprising at least 240
credits, of which at least 60 credits were awarded at an advanced level,
with content that is relevant to the doctoral program, or
has acquired substantially equivalent knowledge in some other way in
Sweden or abroad.
A person meets the specific admission requirements for third-cycle courses and
study programs in biology if he or she:
passed an independent project (e.g., degree project) of at least 30
credits in a relevant subject and have good oral and written proficiency
Equivalent knowledge acquired through corresponding programs will be
To enable interdisciplinary initiatives and important specializations in
certain areas, students with qualifications in subjects other than Biology
may be considered for admission.
Candidates must have a Master's degree in computational biology, physics,
computer science, statistics, or a similar field.
Candidates must have strong computer skills in R, Python, or a similar
Candidate should have practical experience with genetics, evolution, big
data, or machine learning methods.
Candidate must be driven with a good ability to work both independently
and as part of a group.
Candidate should have good teaching skills.
Candidate must have excellent oral and written proficiency in English.
Selection for third-cycle studies is based on the student's potential to
profit from such studies. The assessment of potential is made primarily based
on academic results from the first and second cycles. Special attention is
paid to the following:
1. Knowledge and skills relevant to the thesis project and the subject of
2. An assessment of ability to work independently and to formulate and tackle
3. Written and oral communication skills
4. Other experience relevant to the third-cycle studies, e.g., professional
Other assessment criteria:
Consideration will also be given to good collaborative skills, drive, and
independence, and how the applicant, through his or her experience and skills,
is deemed to have the abilities necessary for successfully completing the
third cycle program.
Terms of employment
Limit of tenure, four years according to HF 5 kap 7§. Only those admitted to
third-cycle studies may be appointed to a doctoral studentship. Third cycle
studies consist of full-time studies for four years. A doctoral studentship is
a fixed-term employment of a maximum of 5 years (including 20% departmental
duties). Doctoral studentships are regulated in the Higher Education
Ordinance (1993:100), chapter 5, 1-7 §§.
Instructions on how to apply
Applications should be written in English and be compiled into a single PDF
1. Cover letter (your background, why are you interested in the position,
and in what way the research project corresponds to your interests and
educational background, your goals, and start date)
2. Résumé/CV, including a list of publications.
3. A general description of past research and future research interests (no
more than three pages).
4. Your scientific publication (if relevant to the research topic)
5. Contact information of at least three references.
6. Copy of the degree/certificate and grades for the MSc and BA studies.
Lund University welcomes applicants with diverse backgrounds and experiences.
We regard gender equality and diversity as a strength and an asset. We kindly
decline all sales and marketing contacts.
To apply, please click the button "Login and apply"
Type of employment Temporary position longer than 6 months
First day of employment As soon as possible, according to agreement
Salary Monthly salary
Number of positions 1
Working hours 100
County Skåne län
Reference number PA2021/2923
Eran Elhaik, Senior lecturer, +46 46 222 94 19, firstname.lastname@example.org
OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62
SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64
SEKO: Seko Civil, 046-222 93 66
Last application date 15.Oct.2021 11:59 PM CEST
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