Tampere University

Doctoral Researcher (Computational Biology)

2024-03-04 (Europe/Helsinki)
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About the employer

Tampere University is one of the most multidisciplinary universities in Finland. We are building a new model for higher education and research in F...

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Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our university community has its competitive edges in technology, health and society. www.tuni.fi/en

The Faculty of Medicine and Health Technology (MET) is dedicated to pursuing world-class research and delivering high-quality education in the fields of biomedical engineering, biotechnology, medicine and health technology. We conduct internationally acclaimed basic and applied research. 

The Quantitative Cellular Communication lab, at the Faculty of Medicine and Health Technology (MET) in Tampere University is seeking a Doctoral Researcher to study the long-term electrophysiological dynamics in epithelial tissues in response to light-controlled stimulations. The position will be full-time and filled for a fixed-term period of two years. The workplace is located at Kauppi Campus, Tampere University.

The Quantitative Cellular Communication research is at the interface between physics and biology, where we combine state-of-the-art tools of genetics, imaging, machine learning, and computational modeling to achieve mechanistic understandings of biological phenomena. We have enjoyed collaborations with many research groups within Tampere University as well as in Paris, France.

Job description

Your task will be to develop statistical models of epithelial tissues to simultaneously identify the driving kinetic factors of the tissue's long-term behaviors in response to varying environmental fluctuations. You will work closely with experimentalists from our partner groups to interpret in vitro data on tissue behaviors, in particular the calcium responses, to light-induced stimulations. The captured calcium dynamics to stimuli of different scales are then combined by integrating the principles of statistical biophysics and machine learning to characterize the trajectory of tissue behaviors over time.

The selected candidate will be able to focus on his/her doctoral research full-time, get supervision, and implement new ideas as a part of a research team in the positive and multidisciplinary environment of the MET faculty. The selected candidate must, later on, be accepted into a doctoral program of our Faculty. Please visit the admissions page for more information on eligibility requirements.

In addition to the doctoral dissertation, the duties of a doctoral researcher may include participation in education or other faculty tasks that support your studies. 


  • Master’s degree in Physics/Biophysics, Computer Science, or Signal Processing
  • Methodological and theoretical skills in statistics and programming
  • Strong experience with data analysis and modeling
  • Fluency in English
  • Enthusiastic to work with experimental data
  • Willingness to teach and supervise undergraduate and graduate students

Tampere University is a unique, multidisciplinary, and boldly forward-looking community. Our values are openness, diversity, responsibility, courage, critical thinking, and learner-centeredness. We hope that you can embrace these values and promote them in your work.

We offer

The doctoral researcher position will be filled from 1.4.2024 or as mutually agreed. The position is a fixed-term period of two years. A trial period of 6 months applies to all our new employees.

The salary will be based on both the job demands and the employee's personal performance in accordance with the University Salary System. According to the criteria applied to teaching and research staff, the position of a Doctoral researcher is placed on the job demands levels 2-4. A typical starting salary for a Doctoral Researcher is approximately 2600 € per month. The salary increases are based on the progression of doctoral research and studies.

We offer a wide range of staff benefits, such as occupational health care services, flexible working hours, versatile research infrastructure, modern teaching facilities, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts. Please read more about Working at Tampere University and Working in Tampere, Finland

How to apply

Please submit your application through our online recruitment system. The closing date for applications is 4th of March 2024 (at 23.59 EET / UTC+2). Please write your application and all accompanying documentation in English and attach them in PDF format only.

Please attach only the following documents to your application: 

  • CV (according to TENK guidelines)
  • A motivational letter (maximum of 1000 words) that briefly outlines motivation to apply, background and skills related to positions, tentative research questions/ideas, earliest starting date, and any other miscellaneous remarks that the candidate wishes to make.
  • PDF copies of your Master’s and Bachelor’s degree certificates, including transcripts of all university records in original language. If original language is other than Finnish, Swedish or English, please provide an official translation in one of those languages.
  • Contact information of one or two referee(s)

For more information

Should you have any questions about the project or the working environment, don’t hesitate to contact directly: 

Academy Research Fellow, Huy Tran, huy.tran (at) tuni.fi

For questions regarding the application process, please contact:

HR-Specialist, Arika Kutllovci, arika.kutllovci (at) tuni.fi 

Job details

Doctoral Researcher (Computational Biology)
Kalevantie 4 Tampere, Finland
Application deadline
2024-03-04 23:59 (Europe/Helsinki)
2024-03-04 22:59 (CET)
Job type
Save job

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About the employer

Tampere University is one of the most multidisciplinary universities in Finland. We are building a new model for higher education and research in F...

Visit the employer page

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