Lunds universitet, Naturvetenskapliga fakulteten, biologiska institutionen

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Work duties
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.  

Qualifications

  • Education: Masters in Biology
  • Experience:
    - 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 neuroanatomy
  • Knowledge and competences:
    - Detailed knowledge of insect brain neuroanatomy
    - Experience in generating and handling 3D datasets from single neurons and brain regions
    - Experience in handling physiological data from single cell recordings
    - Experience with software Amira and ImageJ 

Other skills:

  • 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 recommendation, etc.).

Type of employment Special fixed-term employment
Employment expires 2022-03-31
Contract type Part-time
First day of employment Fixed-term employment from 2021-10-01 until 2022-03-31
Salary Monthly salary
Number of positions 1
Full-time equivalent 50
City Lund
County Skåne län
Country Sweden
Reference number PA2021/2800
Contact
  • Stanley Heinze, +46 46 222 95 78, stanley.heinze@biol.lu.se
Union representative
  • 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
Published 06.Sep.2021
Last application date 20.Sep.2021 11:59 PM CEST

Return to job vacancies