PhD and Academic Positions at Umeå University, a university in Umeå in the mid-northern region of Sweden, Sweden

Assistant Professor in Nursing, Radiography, Sexual and Reproductive Health, Occupational Therapy or Sports Medicine with opportunity for combined clinical appointment

  •  Temporary position longer than 6 months
  •  100 %
  •  Medicinska fakulteten

The appointment is aimed at researchers in the early stages of their career in order to give an assistant professor the opportunity to develop independence as a researcher and qualify in both research and educational terms for employment as an associate professor. The appointment as assistant professor is mainly – at least 80 per cent – aimed at the acquisition of research qualifications, with the remaining time mainly aimed at the acquisition of educational qualifications. The subject area for this appointment is either Nursing, Radiography, Sexual and Reproductive Health, Occupational Therapy or Sports Medicine.

Assistant professor in a subject of choice at the Faculty of Medicine

  •  Temporary position longer than 6 months
  •  100 %
  •  Medicinska fakulteten

The appointment is aimed at researchers in the early stages of their careers in order to give an assistant professor the opportunity to develop independence as a researcher and qualify in both research and educational terms for employment as an associate professor. The appointment as assistant professor is mainly – at least 80 per cent – aimed at the acquisition of research qualifications, with the remaining time mainly aimed at the acquisition of educational qualifications.

Some teaching may be carried out remotely, using internet-based methods. Teaching is carried out in Swedish and English. Administrative tasks may be included.

Ph.D. Student Position in medical science, pediatrics

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för klinisk vetenskap

The aim of this current project is to assess risk for adverse cardiac events associated with psychotropic drug treatment using national registers and epidemiological research methods.  Results from these studies will fill a knowledge gap regarding psychotropic drug safety, in combination with other medications, longtime treatments, comorbidity, in different ages, sociodemographic status and sexes.

The project is a joint research consortium between clinical and research specialist areas which enables several and methodological clinical aspects to be considered. The results from this study will be communicated to relevant stakeholders. The project involves a larger research group with several doctoral students. By the study´s large sample size and power to detect even smaller risk estimates, this national-wide population-based study will contribute substantially to a better risk-benefit assessment, and in the long term, lead to better personalized psychopharmacological drug treatment.

Post doctor (2 years) in technology or engineering education

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för naturvetenskapernas och matematikens didaktik

As a post doctor in technology or engineering education, you will be part of the Umeå Science Education Research (UmSER) environment. Research topics explored in UmSER include environmental and sustainability education, the role of emotions in science and technology, and identity and power in teaching and learning.

As a post doctor in educational science, you will be part of the career program for young researchers run by Umeå School of Education. The position is in technology or engineering education, but also aims to strengthen educational research at Umeå University. As a post doctor in the career program, you will therefore be part of a broader interdisciplinary environment in addition to your main research context in technology or engineering education.

4 postdoctoral positions within the field of educational sciences

  •  Temporary position longer than 6 months
  •  100%
  •  Lärarhögskolan vid Umeå universitet

Umeå School of Education has initiated a new career program. As a post doc in this program, you will be part of an interdisciplinary network in addition to your regular research context. We encourage international research exchange visits during the post doc years.

Postdoctoral position in pedagogy with a focus on gender and intersectionality

  •  Temporary position longer than 6 months
  •  100%
  •  Pedagogiska institutionen

The position is a full-time, fixed-term position for two years starting 1 October 2022 (subject to negotiation). The position is located at the Department of Education, Umeå University. The person employed is expected to be active in the department’s research environment and daily activities. It is primarily linked to the area of Gender and Pedagogical Processes in Society (GePS) but also aims to strengthen the education department’s gender research and training.

Postdoctoral researcher in history didactics

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för idé- och samhällsstudier

This postdoc position is part of a new career program, initiated by Umeå School of Education. It is linked to the research area History and education but aims also to strengthen educational research at Umeå University. As a postdoctoral researcher in the career program, you will be part of an interdisciplinary network in addition to your regular research context. We encourage international research exchange visits during the postdoc years.

Post doctor in machine learning for single-cell data analysis

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för molekylärbiologi

Gene isoforms play key roles in disease etiology and outcome. Despite that gene isoforms are involved in most biological processes, they are commonly ignored because we lack tools to understand them. In this project we will build new large-scale machine learning tools to extract gene isoform information from commonly existing single-cell RNA-seq data.

The approach we consider is based on variational autoencoders and sequence models. The challenges lie in the data being extremely large, sparse, and noisy. The project will open doors into the currently most rapidly expanding field in biology.

2 PhD position in Medical Sciences with a research profile in radiation physics

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för strålningsvetenskaper

The projects aims at developing treatment and monitoring of cancer therapies with focus on imaging based methods, primarily magnetic resonance imaging and positron emission tomography, but can also include CT and CBCT and other imaging modalities. Planning and execution of radiotherapy will be main applications of the projects. The candidate will be part of a multi-professional team including medical physicists, oncologists, radiologists and other specialties if appropriate. Image analysis, programming and use of clinical software’s and equipment will be central components of the work. Parts of the work may include machine learning and big data. The Ph.D. projects can to some degree be adjusted based on the applicants interests.

Research Engineer in Molecular Biology, CBCS

  •  Temporary position longer than 6 months
  •  100%
  •  Kemiska institutionen

The activities will mainly consist of establishing and performing screens of small molecules using cell-based and biochemical test systems. You will also work with the maintenance of cell lines including work with BSL-1 and BSL-2 classified microorganisms. Protocol optimization and troubleshooting are also included in the tasks, as well as handling chemicals/reagents in a safe way and preparing different solutions. The work includes the use of robotic equipment such as plate readers and liquid handling instruments, as well as handling and using advanced microscopes (e.g. high-content instruments).

PhD position in Mathematics with focus on Matematical Finance and Economics

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för matematik och matematisk statistik

This project looks at the valuation of real options in the presence of multiple agents and strategic competition; a framework often referred to as real option games. Classical literature argues that a strategic element in real options erodes the option value, leading to a suboptimal equilibrium. Some mechanisms that reduce this effect have been discussed recently, specifically information and noise by Lambrecht as well as complementarity and cooperation. However, in recent work the supervisor showed, that access to financial markets with specifically designed structured products can alter the decision making to move away from inefficient equilibria. In the context of this research proposal, we will build on a classical setup where companies compete for projects and make investment decisions accordingly and add a market in which shares and other derivatives products on the various companies are traded. We allow the companies to trade in these and run a portfolio alongside their own business. We will study the effects on equilibria and investigate applications in resource economics and corporate finance. The modelling will be undertaken preferably in continuous time, but some of the work may also require discrete-time modelling.

Phd position in informatics

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för informatik

The employment runs for four years full-time which corresponds to four years of full-time studies (240 higher education credits) and means that you complete your doctoral studies within the department with a doctoral degree as a goal. The employment can include up to 20% of other activities (eg teaching). Salary is paid according to an established agreement for doctoral positions. The employments starts in autumn 2022. For this position, you are expected to perform your work at Umeå University Campus.

First research engineer in medicinal chemistry & chemical biology at CBCS

  •  Permanent position
  •  100%
  •  Kemiska institutionen

The duties mainly consist of follow-up of small molecules identified through the screening of libraries of thousands of small molecules. This includes the identification of pre-existing substances by searching different types of databases, but mainly the design and synthesis of new substances with different substitution patterns. New substances will be characterized and the work should be summarized and communicated to the research group with whom the infrastructure cooperates. In addition to this, lab journals should be kept and joint efforts to keep the lab operations running are also part of the tasks with specific responsibilities e.g. for HPLC and MS instruments. Contact and exchange with researchers and with CBCS staff at other universities is an important part of the tasks. In addition, you are expected to take an active part in the development of the infrastructure through the implementation of new technologies and instrumentation.

Post doctor (2 years) within Financial Mathematics

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för matematik och matematisk statistik

 investigation will build up on benchmark multi-factor models from the commodities  futures pricing literature, but clearly distinguishing the different channels that can create seasonality, spot price and preferences. We will link the preference channel to utility-based determination of risk premia, using the well-known utility indifference pricing approach.

PhD student in mathematics within the WASP AI programme

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för matematik och matematisk statistik

Deep learning models, particularly deep convolutional neural networks (CNNs), have enjoyed tremendous success on an impressive number of complex problems. However, a fundamental understanding of the mathematical descriptions of the models and their extensions to non-flat data are still lacking, presenting an exciting research problem spanning several areas such as differential geometry, numerical analysis, and dynamical systems.

A promising approach, referred to as geometric deep learning, is to account for the geometry of the input data by making the networks equivariant with respect to the symmetries of the data. This means that a transformation of the input produces a corresponding transformation of the output. Making such geometric structures manifest amounts to incorporating prior knowledge of the system to facilitate learning.

Associate Professor in transportation design (temporary position)

  •  Temporary position 3-6 months
  •  50-100%
  •  Designhögskolan

The duties consist primarily of planning, implementing and developing education in transportation design. It also means supervision, administration and own competence development. The duties also include collaborating with other departments at the Umeå Arts Campus, at Umeå University and internationally, as well as with external collaboration partners.

Project assistant position at the Department of molecular biology

  •  Temporary position 3-6 months
  •  100%
  •  Institutionen för molekylärbiologi

Chronic infections are well-recognized clinical problems that contribute to development of antibiotic resistance. Existing antibiotics act on a limited number of pathways in bacteria and expanding the set of bacterial factors that can be targeted is urgently needed. This project aims to identify bacterial determinants that can be explored as targets for new antimicrobials by revealing mechanisms and/or determinants that are critical for bacteria to maintain infection in humans. The current project will be performed within an ongoing research program funded by Swedish Research Council on how to combat human bacterial infections by investigating bacterial transcriptome profiles of infected human specimens in combination with PATHOgenex (www.pathogenex.org) dataset and usage of biocomputational analyses. The work tasks include designing and performing experiments and writing reports under supervision of the group leader. 

PhD position in political science with a focus on Transformation, Riskification and Geopolitics in the Arctic

  •  Temporary position longer than 6 months
  •  100%
  •  Statsvetenskapliga institutionen

The aim of this doctoral project is to contribute with new empirical insights into political drivers in the development of the Arctic and to increase our contextual understanding by way of international concepts facilitating cross-disciplinary dialogue. The climate crisis and increasing competition over natural resources and security solutions challenge established forms of cooperation in the region and by extension the global goals of sustainability, for example as these are expressed Agenda 2030. The Arctic lacks an obvious center of gravity while the effects of transformation are unevenly distributed. Actors calculate risk under the influence of different geopolitical connotations. Who among the many actors involved have the power to influence Arctic transformation? Is it conceivable to arrive at a sustainable agenda, not broken by groups of optimists, skeptics and deniers?

PhD position in Medical Science with an orientation towards cell biology

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för integrativ medicinsk biologi

Brachial plexus injuries (BPI), whether traumatic or obstetrical, cause a dramatic loss of motor function in the arms and hands. Although surgical techniques exist which may promote regeneration of the injured nerve structures, the end-organ muscles are at risk of deteriorating to the degree that functional reinnervation is impossible. The distance from the site of injury to the intrinsic muscles of the hand is normally too far for the muscle to survive until the regenerating axons reach the target. The purpose of this translational project is to introduce a novel treatment regime. We propose the administration of an advanced therapy based on stem cells, for delivery of factors to rescue muscle damage. This PhD-project aims to address pre-clinical testing and characterization of the cell-based product both in vitro and in an established animal model.

PhD position in Experimental Physics

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för fysik

We are looking for a PhD candidate interested in developing a state-of-the art ultrafast vibrational spectroscopy system to uncover the structure, and consequently the function, of molecular entities controlling key life processes inside our cells. The PhD project interfaces three rich fields of research: ultrafast science, optics and structural biology. The  overarching goal is to measure correlations between coherent vibrations in organic molecular systems. This approach, while technically challenging, could bring the highest degree of biomolecular specificity.

Postdoc position in computing science with focus on federated learning

  •  Temporary position longer than 6 months
  •  100 %
  •  Institutionen för datavetenskap

The rapid increase of autonomous systems, connected devices, and distributed applications pose challenges in dealing with petabytes of data in diverse resource-constrained environments. Federated machine learning (FML) is collaborative learning to handle these problems without sharing data with centralized servers. However, several emerging threats target FML training, learning, and inference to fail or mislead models at early learning rounds. Attackers aim to break trustworthiness under different threat models such as insiders-outsiders attacks, semi-honest or fully malicious participants, and attacks in training, learning, or inference phases. As a result, the learning models fail to provide acceptable performance. Therefore, this project aims to develop and implement trustworthy federated learning algorithms for scarce and diverse non-iid (independent identically distributed) data under non-standard and adversarial settings, which are ideally suited for constraint environments and edge computing infrastructures. These goals can be achieved by inducing unique features in federated learning algorithms such as decentralized training, optimal device selection, secure learning and inference, fault-tolerance against failures and attacks, as well as resilient, fair and robust models. The ambition is to validate them in classical non-standard settings and apply them to solutions for constraint environments (i.e., Industrial Internet of Things (IIoT), healthcare systems) and edge infrastructures. Potentially, teaching up to a maximum of 20% can be included in the work tasks.

Assistant professor of Data driven Precision Medicine and Diagnostics

  •  Temporary position longer than 6 months
  •  100 %
  •  Wallenberg centrum för molekylär medicin (WCMM)

The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative funded with a total of 3,1 billion SEK from the Knut and Alice Wallenberg Foundation. The purpose of the program is to recruit and train the next generation of researchers in data-driven life science and to create data-driven life scientists and to create globally leading computational and data science capabilities in life science in Sweden.

The program will recruit 39 eminent young group leaders as DDLS Fellows, launch over 210 postdoctoral positions and establish a research school for 260 PhDs, within both academia and industry. The program is coordinated by SciLifeLab, a nationwide research infrastructure and a hub for cross-disciplinary life sciences. The Fellows will be recruited to the 11 participating host universities/organizations, enabling them to link up with strong local research environments as well as with the national DDLS program. The DDLS program promotes collaborative interdisciplinary work and engagement with industry, healthcare and other national and international partners, such as WASP, with the aim of bridging the life science and data science communities.

Postdoctoral position in Aquatic Ecology – Environmental drivers of fish top consumer growth, production and size structure

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för ekologi, miljö och geovetenskap

We are looking for a Postdoctoral Researcher to join the international research project “Holistic evaluation and restoration measures of human impacts on freshwater ecosystems across biogeographical gradients (FreshRestore)”, co-funded by the European Commission (https://www.biodiversa.org/1587) and Swedish Environmental Protection Agency (EPA). Globally, lake ecosystems are under anthropogenic stress (e.g. climate change, land use and harvesting). A key challenge is to understand and predict how freshwaters over gradients of catchments respond to different stressors, and to gain knowledge how to preserve and restore these ecosystems. FreshRestore will develop integrative models to predict population and food web levels consequences of natural environmental drivers and anthropogenic stressors using ecological population- and statistical models and large data sets of lake abiotic parameters, fish communities and food webs across biogeographical gradients in Fennoscandia, combined with information on climate, land- and water-use, and mitigation efforts (e.g., habitat restorations). The ecological and socio-economic models will facilitate evaluation of the cost-efficiency of different nature-based solutions and elucidate how to improve biodiversity in lakes through different implementations. The consortium includes partners from Norway, Sweden, Denmark, Finland and Spain. The project includes funding for travel costs allowing the postdoctoral researcher to visit the project partners, participate in field activities and to join scientific meetings.

Project assistant, 6 months, The Department of Molecular Biology

  •  Temporary position 3-6 months
  •  100%
  •  Institutionen för molekylärbiologi

In this project we will see if single-cell data can be analyzed using new types of variational autoencoders. This is a pilot study (6 months) with the aim of investigating the potential of the project to be appropriate for a grant application, PhD- or post-doc project.

As project assistant you will work under supervision to:

  • Implement and test novel formulations of variational autoencoders
  • Apply the new formulation to single-cell data
  • Draw conclusions from the model and contribute to writing of research articles

The selected candidate will use python, SCVI and other single-cell boxes, alongside custom code written by the candidate, and document and present the findings.

1 PhD student position in Computing Science with focus on AI for Data Management

  •  Temporary position longer than 6 months
  •  100 %
  •  Institutionen för datavetenskap

The project, led by Professor Diego Calvanese, concerns foundational and/or applied research in the context of flexible and efficient management of large amounts of richly structured data, by relying on the paradigm of Virtual Knowledge Graphs (VKGs, also known as Ontology-based Data Access).

2 postdoctoral positions in Computer Science with focus on AI for Data Management

  •  Temporary position longer than 6 months
  •  100 %
  •  Institutionen för datavetenskap

The research will be carried out within the research group in “Artificial Intelligence for Data Management”, led by Prof. Diego Calvanese. The research group currently consists of two post-doctoral researchers and three PhD students, and it will be joined starting from summer this year by two associate professors and several PhD students. The group will closely collaborate with the research team of Prof. Calvanese at the Free University of Bozen-Bolzano, Italy, which is well-known as one of the leading groups worldwide for its foundational and applied research at the interplay between Semantic Technologies, Knowledge Representation and Reasoning, and Databases.

Post doctor (2 years) within infection and cancer biology

  •  Temporary position longer than 6 months
  •  100%
  •  Institutionen för molekylärbiologi

The research team studies the effect of acute and chronic infection/intoxication in vitro and in vivo with bacteria expressing genotoxins, which cause DNA damage in mammalian cells.

The project aims at characterizing the effects of the genotoxins on the tissue architecture (e. g. intestinal tract, liver and spleen), the host response (special focus on the immune response), induction of DNA damage and genomic instability caused by short term and long-term infections/intoxication in organoids and 3D models as well as in ex vivo and in vivo models.

Postdoc position in Socially Aware AI with a focus on extreme contexts

  •  Temporary position longer than 6 months
  •  100 %
  •  Institutionen för datavetenskap

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Postdoc, Business Administration, Artificial Intelligence, extreme context.

  •  Temporary position longer than 6 months
  •  100%
  •  Handelshögskolan vid Umeå universitet

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Postdoc position in Socially Aware AI with focus on engineering social simulations

  •  Temporary position longer than 6 months
  •  100 %
  •  Institutionen för datavetenskap

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Associate Professor in transportation design

  •  Permanent position
  •  100%
  •  Designhögskolan

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