Umeå University is one of Sweden’s largest institutions of higher education with over 36,000 students and 4,100 faculty and staff. We are characterised by world-leading research in several scientific fields and a multitude of educations ranked highly in international comparison. Umeå University is also the site of the pioneering discovery of the CRISPR-Cas9 genetic scissors – a revolution in genetic engineering that has been awarded the 2020 Nobel Prize in Chemistry. We welcome your application!
The Integrated Science Lab (IceLab) (https://icelab.se/) jointly with several departments at Umeå University and the Swedish University of Agricultural Sciences (SLU) offer three postdoctoral scholarships that will be affiliated with one of six possible multidisciplinary projects.
The ideal postdocs will have mathematical and computational modeling expertise and a deep interest in working with empirical researchers.
The six projects are:
A. Semantic analysis of single-cell data
Modern single-cell analysis produces enormous high-dimensional datasets that humans struggle to analyze. In this project we will apply generative models for language processing
text analysis to greatly speed up research and diagnostics using this cutting-edge technology. This project is offered by Associate professor Johanna Björklund, Dept of Computing Science (email@example.com) and Dr. Johan Henriksson, Dept of Molecular Biology and Molecular Infection Medicine Sweden (MIMS) (firstname.lastname@example.org).
B. Expulsion events as drivers of evolution in endosymbiotic systems
Symbioses can be critical to the survival of ecosystems and when they break down the consequences can be dramatic. In this project we emphasize the role and dynamics of expulsion events using coral bleaching as a model system, developing and applying a novel mathematical modelling paradigm based on symmetry methods for differential equations. This project is offered by Professor Nick Kamenos, Dept. Ecology and Environmental Sciences / Umeå Marine Science Centre, email@example.com and Associate professor Fredrik Ohlsson, Dept. Mathematics and Mathematical Statistics, firstname.lastname@example.org.
C. Modelling forest carbon sequestration in a dynamic world
The aim of this project is to improve upon current steady-state modelling approaches by developing a novel, dynamic model of forest canopy carbon uptake, that considers the natural fluctuations of light intensity over and within the canopy, as well as the dynamic response of photosynthesis to these light fluctuations. This project is offered by Dr. Zsofia Reka Stangl, Dept of Forest Ecology and Management, SLU (email@example.com), and Associate professor Eric Libby, Dept of Mathematics and Mathematical Statistics (firstname.lastname@example.org).
D. Statistical learning for Chronosilviculture
This project explores the growth of trees with altered light perception and circadian clock function in space and time. The aim is to analyse and model environmental control of growth, benefiting future breeding of healthy and productive trees. This project is offered by Maria E. Eriksson, Associate professor, Department Plant Physiology (email@example.com), and Jun Yu, Professor, Department of Mathematics and Mathematical Statistics (firstname.lastname@example.org).
E. Modeling artic soil-pore networks undergoing environmental-induced structural changes
Arctic ecosystems store a tremendous amount of organic matter. Unleashing this pool as greenhouse gases will likely affect the Earth’s atmospheric composition and disturb the heat radiation balance causing rising temperatures. This mechanism represents a self-reinforcing cycle as higher temperatures stimulate more gas emissions. This project aims to offer a new perspective on this soil-global warming feedback loop by using mathematical modeling and applying methods from complex network theory. This project is offered by Ludvig Lizana, Associate Professor, Department of Physics, email@example.com and Jonatan Klaminder, Professor, Department of Ecology and Environmental Sciences, Jonatan.firstname.lastname@example.org.
F. Intelligent wearable sensors for in-the-field individual assessment and feedback for improved movement control after knee injury
Our interdisciplinary research team performs advanced measurements in special movement and brain imaging laboratories for diagnosis and evaluation of people’s movement ability following injury or illness. The specific project concerns evaluation of movement control in persons who have suffered an injury to their anterior cruciate ligament (ACL) and where many do not go back into sports, are afraid of getting new injuries and where the risk is very high of injuring themselves again, especially if being afraid which affects the movement pattern. We aim to develop machine learning methods to evaluate movement control and provide feedback for individualised training by means of intelligent embedded sensors that will be able to transfer the technology beyond the laboratory domain into the patient’s everyday environment, e.g., at home or on the sports field. This project is offered by Professor Charlotte Häger, Dept of Community Medicine and Rehabilitation; physiotherapy (email@example.com), and Professor Tomas Nordström, Dept of Applied Physics and Electronics (firstname.lastname@example.org).
Detailed information on each project is available on https://www.umu.se/en/work-with-us/postdoctoral-scholarships/7-1336-22/.
The IceLab Multidisciplinary Postdoctoral Program
The under-explored terrain between traditional disciplines is full of fascinating and impactful research questions. At IceLab, we promote and facilitate transdisciplinary collaborations – with a focus on cutting-edge research that integrates theoretical, computational, and empirical work.
We will welcome you to IceLab with genuine support by creative researchers working on a multitude of interdisciplinary problems. You will participate in both professionally and personally rewarding and entertaining activities aimed at training a new kind of researcher. A multidisciplinary team of researchers with complementary expertise will supervise each postdoc.
The two-year postdoc fellowships are financed by the Kempe foundations and are part of the IceLab Multidisciplinary Postdoctoral Program. A fellowship amounts to 2 years funding: 27,500 SEK per month in year one and 28,000 SEK per month in year two. The scholarships is tax-free. Application deadline September 20, 2022. Start winter/spring 2023 (exact start date according to agreement).
Specific qualifications are described separately for each project on the application page. In addition, to formally qualify for a fellowship, the candidate should have a PhD degree, or a foreign degree that is deemed equivalent, in one of the fields listed for each project, for example computing or data science, mathematics, physics, bioinformatics, mathematical statistics.
Priority should be given to candidates who have completed their doctoral degree no more than three years before the closing date of the application. A candidate who has completed their degree prior to this may be considered if special circumstances exist. Special circumstances include absence due to illness, parental leave or clinical practice, appointments of trust in trade unions or similar circumstances.
In general, candidates should have experience in computational and quantitative modeling, along with excellent skills in modern computer programming languages (e.g. C++, Python, MATLAB or R).
Personal qualities such as collaboration, communication, strong drive and motivation, critical thinking abilities, creativity and analytical skills are essential. You should be able to perform research independently and as part of a team. Good knowledge of oral and written English is required.
A full application should include:
- A cover letter clearly stating which project or projects you are particularly interested in and summarizing your qualifications, your scientific interests, and your motives for applying (max 2 pages),
- A curriculum vitae (CV) with publication list,
- Certified copy of doctoral degree certificate,
- Certified copies of other diplomas, list of completed academic courses and grades,
- Copy of doctoral thesis,
- Copies of relevant publications,
- Contact information for at least two reference persons,
- Other documents that the applicant wishes to claim.
Submit your application as a PDF marked with the reference number FS 2.1.7-1336-22, both in the file name and in the subject field of the email, to email@example.com. The application can be written in English or Swedish. Application deadline is 20 September 2022.
We look forward to receiving your application!
More about us
At Umeå University, everything is nearby. Our cohesive campus environment makes it easy to meet, collaborate and exchange knowledge, which promotes a dynamic and open culture where we rejoice in each other’s successes. If you are interested in knowing about Umeå University as a workplace, read more at: https://www.umu.se/en/work-with-us/.
Umeå University also offers a strong postdoc community with the Umeå Postdoc Society (UPS) which fosters networking amongst postdocs, organises social and career development events and works towards improving the postdoc experience at Umea campus. Check out their website: https://umeapostdocsociety.se/ and do not hesitate to get in contact with them early on!