Lunds universitet, Naturvetenskapliga fakulteten, biologiska institutionen
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.
Data management and public deposition of research data has become
increasingly mandatory in neuroscience and is generally important for research
data integrity and a transparent research culture. We have therefore developed
the Insectbrain database (insectbraindb.org) as an online platform for
managing, depositing and sharing data from insect neuroscience. Our ongoing
projects have generated large amounts of neuroanatomical, physiological and
behavioral data from several insect species. A successful candidate will work
towards integrating these data in the public insectbrain database repository.
This work will also include aiding us in further developing this platform and
its possibilities. This will involve documenting software bugs, development of
application ideas, beta-testing of new functions, and streamlining of existing
workflows. Additionally, the work will involve updating the software user
guide, identifying ways to recruit active users, locate and upload new
datasets, and to curate all existing data.
Education: Masters in Biology
- Experience with handling data deposition and data manangement using the
insectbrain database or similar databases
- At least 2 years years of research experience in the field of insect
Knowledge and competences:
- Detailed knowledge of insect brain neuroanatomy
- Experience in generating and handling 3D datasets from single neurons and
- Experience in handling physiological data from single cell recordings
- Experience with software Amira and ImageJ
Excellent communication skills in oral and written English
We will place great emphasis on personal suitability. Consideration will also
be given to good collaborative skills and independence, and how the
applicant's experience and skills complement and strengthen the work within
the research group, as well as contribute to its future development.
Terms of employment
Fixed-term employment, from 1st of October 2021 to 31st of March 2022. The
scope of the employment: 50% of full time.
Contact person: Stanley Heinze
Instructions on how to apply
Applications should include a cover letter stating the reasons why you are
interested in the position and in what way the employment corresponds to your
qualifications. The application should also contain a CV, degree certificate
or equivalent, and other documents you wish to be considered (grade
transcripts, contact information for your references, letters of
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 3-6 months
Employment expires 2022-03-31
Contract type Part-time
First day of employment Fixed-term employment from 2021-10-01 until
Salary Monthly salary
Number of positions 1
Working hours 50
County Skåne län
Reference number PA2021/2800
Stanley Heinze, +46 46 222 95 78, 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 20.Sep.2021 11:59 PM CEST
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