Call for postdocs

Tenure Professors' club at the University of Latvia invites you to apply for our support programme (UL excellenceship) for preparing MSCA postdoctoral fellowship – one proposal for two fundings. If selected, we will help to submit your proposal for MSCA Fellowship and ERA Fellowship. The same application can be submitted to the Latvian calls, if open. Such an opportunity is unique among a few EU so-called widening countries, including Latvia. The submission deadline is the 9th of September 2026. The UL excellenceship progremme includes:

N.B! Even with that support, preparing the application requires several months of training in grant writing and actual writing.

Selection of candidates

To be considered for the UL excellenceship programme, please follow the instructions on this webpage, given in the tabs above:

Complete these steps by the 1th of June 2026 to be enrolled to the UL excellenceship programme.

Please choose a suitable supervisor.

Supervisors with profiles

I am a full professor at the Faculty of Science and Technology and a member of the Latvian Academy of Sciences. My research is at the interface of computer science, mathematics, and theoretical physics, with a focus on the algorithmic foundations of quantum computing.

My work focuses on quantum algorithms, quantum complexity theory, and quantum cryptography. I have contributed to key concepts, including quantum walks and the quantum adversary method. Current research includes the design of quantum algorithms that outperform classical approaches and questions in quantum information processing and computational complexity. I have secured competitive funding, including an ERC Advanced Grant, and contributed to multiple EU projects on quantum technologies.

I have experience supervising PhD students and postdoctoral researchers, as well as mentoring participants in the International Mathematical Olympiad. My approach is based on close scientific discussion, problem-oriented guidance, and development of analytical skills.

I lead the Center for Quantum Computing and contribute to the Latvian Quantum Initiative. The group works on theoretical aspects of quantum computing with links to mathematics, physics, and computer science. We welcome candidates with backgrounds in these areas. We provide a collaborative research environment with regular interaction and integration into international collaborations, supporting independent research while contributing to ongoing projects.

CV: https://research.lu.lv/en/persons/andris-ambainis/

I am a full professor in Latvian linguistics at the Faculty of Humanities, University of Latvia. I work with a team of linguists on the Latvian Council of Science project ā€œDatabase of Latvian Morphemes and Derivational Models (DLMDM)ā€ and with the Department of Latvian and Baltic Studies.

The DLMDM project develops a digital, structured, and machine-readable resource on Latvian derivational morphology. It provides data on word structure and patterns of word formation, with a focus on morphemes, their functions, and principles of combinability and ordering. The research follows a data-based, bottom-up approach, including inventorying, classification, and analysis within the broader language system.

My research interests include morphology, derivational morphology, morphosyntax, morphophonology, functional grammar, pragmatics, modality, and evidentiality. My main work focuses on Latvian grammar and the theory of grammar.

I am the author and editor of several monographs and volumes, including ā€œMorfēmika un morfonoloÄ£ijaā€ (2004), ā€œMorfoloÄ£ijas stilistikaā€ (2011), ā€œA Typological Perspective on Latvian Grammarā€ (2014), ā€œLatvian Grammarā€ (2021, with Ilze Lokmane), and ā€œInsights into the Baltic and Finnic Languages. Contacts, Comparisons and Changesā€ (2022, eds. Helle Metslang, Miina Norvik, Andra Kalnača).

I am the editor-in-chief of the journal ā€œValoda: nozÄ«me un forma / Language: Meaning and Formā€ (https://doi.org/10.22364/vnf).

CV: https://research.lu.lv/en/persons/andra-kalnača/

I am a tenured professor at the Faculty of Economics and Social Sciences and Director of the Center for Migration and Diaspora Research at the University of Latvia. My research focuses on political sociology, with particular attention to migration, diaspora, and social integration.

My work examines civic and political participation among migrants, labor-market trajectories, inequality, and well-being. A central part of my research addresses the Latvian diaspora and new forms of migration, including changing attitudes towards migrants, integration policy, and the reception of Ukrainian refugees. I also study values, social capital, and the public good.

I have directed several research projects on migration, including the ESF-funded project ā€œThe Emigrant Communities of Latvia,ā€ which surveyed >14,000 Latvian emigrants across >100 countries. I am the country coordinator of the European Values Study in Latvia and have been involved in multiple international comparative studies. My research has been supported by competitive funding, including an ERC Consolidator Grant.

I have been a visiting researcher at institutions in Germany, Denmark, Poland, and the United States, including the University of Washington as a Fulbright research fellow and Yale University as a postdoctoral fellow. Through my personal experience, I understand the challenges of postdoctoral fellowships and offer thoughtful support to strengthen early-stage research careers.

CV: https://research.lu.lv/en/persons/inta-mieriņa/

I am a tenured professor at the Faculty of Humanities and Head of the Department of Philosophy and Ethics. My research focuses on the history of philosophy, with particular attention to German philosophy from the late Middle Ages to modernity, and its connections to Baltic intellectual traditions.

My work examines phenomenology, hermeneutics, and intellectual history, with a focus on thinkers such as J. G. Hamann, G. Herder, Martin Heidegger, and Ludwig Klages. I study the development of philosophical systems, theories of experience, and questions in philosophical anthropology, as well as broader problems within the humanities. My research also addresses the internal logic of modern society and the formation of philosophical thought in the Baltic region.

I am involved in national and international research initiatives and contribute to international collaborations through European academic networks, including the FORTHEM Alliance.

I have experience supervising and mentoring doctoral candidates and postdoctoral researchers. My approach is based on close engagement with texts, critical discussion, and development of independent analytical thinking, with attention to positioning research within broader intellectual traditions.

Through my academic experience, including research periods in Germany and collaboration within European networks, I provide a research environment that supports interdisciplinary work and international integration.

CV: https://research.lu.lv/en/persons/raivis-bicevskis/

I am a full professor leading the Advanced Preclinical Modeling and Translational Research Lab at the Department of Pharmaceutical Sciences, Faculty of Medicine and Life Sciences. My research focuses on advanced cellular and molecular assays to assess cell fate, functionality, and stress responses, combined with microphysiological systems and access to a zebrafish facility. This enables integrated in vitro and in vivo approaches for translational and mechanistic studies.

In my lab, we integrate organ-on-chip (OoC) technologies with induced pluripotent stem cell (iPSC) models to advance the understanding and treatment of tumors and rare diseases, with a strong focus on translational impact. We have established iPSC lines from individuals carrying CAPN3 variants associated with limb-girdle muscular dystrophy R1 (LGMD R1), thereby establishing a robust platform for personalized therapeutic development, including gene-editing strategies.

In parallel, we have developed a microfluidic OoC platform that is currently used for drug-sensitivity testing in patient-derived pancreatic adenocarcinoma organoids. We are also investigating macrophage-mediated drug resistance in acute myeloid leukemia using advanced three-dimensional organoid systems to recapitulate the tumor microenvironment more accurately.

Our lab is further advancing multi-organ chip systems to evaluate drug toxicity and metabolism within physiologically relevant human tissue models. In addition, we utilize OoC platforms to develop aptamer-based targeted tumor therapies. Our work in aptamer technology extends to the design of highly sensitive biosensors for both infectious and non-communicable diseases, including the ongoing development of a malaria biosensor.

CV: https://research.lu.lv/en/persons/una-riekstiņa/

I am an associate professor of physics at the Faculty of Science and Technologies, and I lead the Nanoelectronics Theory Group. My work focuses on quantum nanoelectronics and quantum metrology, with emphasis on single-electron devices and quantum dots. I develop theoretical models of nonadiabatic charge pumping and single-electron transport to understand electron dynamics in nanoscale systems and to enable quantum standards of electrical measurement, including electron quantum optics.

This research connects fundamental quantum principles with experimentally realized devices. A central theme is quantized charge pumping in dynamic quantum dots and the controlled generation and manipulation of electron wave packets. The work addresses few-electron systems and their statistical behavior, with direct relevance for high-precision quantum current standards and single-electron sources.

I have experience supervising doctoral candidates and postdoctoral researchers. My approach is based on analytical modeling closely linked to experiments, with an emphasis on clear problem formulation and independent solution development.

My group works closely with experimental collaborations and European research initiatives. We focus on theories that can be directly tested in semiconductor nanostructures and quantum circuits. We welcome candidates with backgrounds in theoretical physics, condensed matter physics, or quantum technologies. We offer a research environment with regular interaction and integration into international collaborations. We aim to support independent research while maintaining a strong link between theory and experiment.

CV: https://research.lu.lv/en/persons/vjaceslavs-kascejevs/

I am an associate professor in scalable and sustainable chemical processes at the Department of Chemistry, Faculty of Medicine and Life Sciences. My role at the LU is to establish an international group and conduct excellent research. Accordingly, I put much effort into supervising PhD–postdocs and chose computational electrochemistry to focus on hot topics: double layer effects, electrocatalysis, and adsorption phenomena, including CO2 capture. These topics are well-suited for MSCA projects, from method development and mechanistic modeling to application-oriented predictions.

I have experience in supervision across different career levels, like 3 PhD and 5 PFs, as well as over 100 members of the Estonian national team at the International Chemistry Olympiad. My supervision style is based on regular communication, timely alignment of mutual expectations, and attention to the fellow’s long-term career development.

As the Chair of the Baltic States MSCA Alumni Association, I can involve the regional network of MSCA fellows and advise on relevant training and resources. In the 2024 MSCA call, I consulted 5 applicants, resulting in 3 MSCA PF awards and 2 Seal of Excellence certificates. In the 2025 MSCA call, I consulted 8 applicants, resulting in 3 ERA Fellowship awards and 2 Seal of Excellence certificates. This year, I am looking for candidates with their own research ideas and a growth mindset.

CV: https://research.lu.lv/en/persons/vladislav-ivanistsev/

   

Evaluate your competencies according to the European competence framework in seven categories: (1) Managing research, (2) Making an impact, (3) Self-management, (4) Cognitive abilities, (5) Working with others, (6) Managing research tools, and (7) Doing research. Select only those competencies for which you can imagine 1–3 examples of how you applied them in the past. This analysis is useful as it ensures more than 15% of your future application’s evaluation.

Managing Research

1. Mobilise Resources
Identify key relevant funding sources and prepare research grant applications in order to obtain funds and grants; write research proposals and pitch ideas to convince potential investors (internal or external to the organisation) of the need to fund research initiatives
2. Manage Projects
Manage and plan various resources (human resources, budget, deadlines, results, quality) necessary for a specific project and for a project portfolio; monitor progress to achieve a goal within set time and budget using project management tools
3. Negotiate
Exchange ideas while analysing issues and interests; enable opposing sides to resolve disputes and reach an agreement or make decisions to resolve disputes
4. Evaluate research
Reflect on research activities and learn from successes and failures based on personal experience, feedback or monitoring and evaluation; assess proposals, progress, impact and outcomes of peer researchers
5. Promote open access publications
Develop a strategy to publish research and identify appropriate publication channels; use open publication strategies when possible; be familiar with IT support for research and management of CRIS and institutional repositories; provide licensing and copyright advice, use bibliometric indicators, and measure research impact

Making an Impact

1. Participate in the publication process
Submit, revise and publish academic research through appropriate dissemination means and participate in peer review processes including open peer review
2. Disseminate results to the research community
Publicly disclose research results via training, conferences, workshops, colloquia and research publications
3. Teach in academic or vocational contexts
Instruct students and transfer research content into teaching; supervise and support less experienced researchers
4. Communicate to the broad public
Tailor communication of scientific findings to non-specialist audiences using various media formats
5. Increase the impact of Science on Policy and Society
Enhance the use of research in policy making by engaging with policy makers and presenting research findings in a policy friendly format
6. Promote open innovation
Apply models, methods and strategies that contribute to innovation through collaboration with external partners
7. Promote the transfer of knowledge
Deploy awareness and strategies aimed at maximising the two-way flow of tools, technology, expertise, and knowledge between research and relevant stakeholders

Self-management

1. Manage personal professional development
Take responsibility for lifelong learning and continuous professional development; engage in learning to support and update professional competence and develop personal skills; identify priority areas for professional development based on reflection about own practice and through contact with peers and stakeholders; pursue a cycle of self-improvement and develop credible career plans
2. Show entrepreneurial spirit
Demonstrate a proactive mindset and determination to achieve success in business or successfully create it
3. Plan self-organisation
Identify and prioritise tasks to work autonomously; develop efficient time management and sustainable work/life balance; understand how to behave and work in a sustainable way, including from the environmental point of view, and be mindful of the impact of own activities on the environment
4. Cope with pressure
Handle challenges, disruption, and change and recover from set-backs and adversity

Cognitive Abilities

1. Abstract thinking
Demonstrate the ability to use concepts in order to make and understand generalisations, and relate or connect them to other items, events, or experiences
2. Critical thinking
Exercise critical judgement and thinking, develop own assumptions, and establish a way of working based on critical thinking.
3. Analytical thinking
Using logic and reasoning to develop alternative solutions, conclusions or approaches to problems and identify their strengths and weaknesses.
4. Strategic thinking
Develop a vision to turn ideas into action. Obtain and synthesize information to identify and explore trends, opportunities, threats (also based on intuition and creativity) to achieve a long‐term goal and to thrive in a competitive, changing environment. Identify alternative paths to turn ideas into action, select the most appropriate approach and adjust where necessary.
5. Systemic thinking
Understand and take account of the characteristics of (inter)national research systems where researchers interact with all relevant stakeholders and of the position of individual researchers and their organisation within the system. Situate research activities within the wider context to improve the understanding of complex issues and identify linkages with related issues.
6. Problem solving
Develop and implement solutions to practical, operational or conceptual problems which arise in the execution of work in a wide range of contexts.
7. Creativity
Develop several ideas and opportunities to create value, including better solutions to existing and new challenges. Explore and experiment with innovative approaches. Combine knowledge and resources to achieve valuable effects.

Working with Others

1. Interact professionally
Show consideration to others and professional collegial behaviour; listen, give and receive feedback and respond perceptively to others; engage effectively and in a goal‐directed manner with other people in a professional setting, including staff supervision and leadership
2. Develop networks
Develop alliances, contacts or partnerships and exchange information; foster integrated and open collaborations where stakeholders co‐create shared value; develop your personal profile and make yourself visible in face‐to‐face and online networking environments
3. Work in teams
Work confidently within a group with each doing their part in the service of the whole
4. Ensure wellbeing at work
Understand the links between work, physical and mental health and wellbeing; be informed about health promotion and disease prevention to create a healthy work environment
5. Build mentor-mentee relationships
Mentor individuals by providing emotional support, sharing experiences and giving advice to aid personal development; as a mentee, seek guidance and support
6. Promote inclusion & diversity
Promote and ensure equality and diversity management in both words and actions; guide and advise colleagues on working in diverse teams and contexts

Managing Research Tools

1. Manage research data
Produce and analyse research data originating from qualitative and quantitative research methods. Store and maintain the data in research databases. Support the re-use of research data and be familiar with data management principles, including FAIR (Findable, Accessible, Interoperable, and Reusable) principles. Make data as open as possible, and as closed as necessary.
2. Promote citizen science
Engage citizens in research activities and develop protocols for their inclusion at various stages of the research process
3. Manage intellectual property rights
Deal with legal rights that protect research outputs; advise peers and establish institutional procedures for intellectual property protection
4. Operate open source software
Use open source software beyond licensed tools; understand open source models, licensing schemes and coding practices; promote and contribute to open source development in research

Doing Research

1. Have disciplinary expertise
Demonstrate deep knowledge and complex understanding of a specific research area, including responsible research, research ethics and integrity principles, privacy and GDPR requirements, related to research activities within a specific discipline.
2. Perform scientific research
Gain, correct or improve knowledge about phenomena by selecting or developing the appropriate scientific approach and by using scientific methods and research techniques based on empirical or measurable observations.
3. Conduct interdisciplinary research
Work and use research findings and data across disciplinary/functional boundaries, including in collaborative settings.
4. Write research documents
Draft and edit research, academic or technical texts on different subjects.
5. Apply research ethics and integrity principles
Apply fundamental ethical principles and legislation to research and innovation, including issues of research integrity. Perform, review, or report research avoiding misconducts such as fabrication, falsification, and plagiarism.

   

Provide basic information from your CV. Write carefully your email address as it will be used to invite you to the program.

Basic CV information
Work experience
PhD education
Languages

   

Answer eight questions to explain your experiences and motivation.

Questions