Postdoc in Industrial Digitalisation for sustainable production

Artificial IntelligenceMachine learning
Sep 29, 2023 21:59:00 GMT+00:00
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Ref 2023/1605

Mälardalen University is growing and evolving due to increased research funding from the Swedish Government. Join our team on this exciting journey towards MDU`s vision, to be a progressive and collaborative University where together we shape a sustainable future. You can make a difference. Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new perspectives are best attained and reached together in collaboration with others – our colleagues, students, the private and public sectors, both nationally and internationally. Around 17 000 students are currently studying courses and programmes with us in the various domains. We offer education in areas such as design and communication, economics, health, engineering and technology, preschool and compulsory school teacher training as well as in chamber music and opera. In most of our areas we also offer programmes entirely taught in English. We conduct research in all disciplinary domains and our research in Future Energy and Embedded Systems is internationally prominent. Mälardalen University is located in Sweden, on both sides of Lake Mälaren, with campuses in Eskilstuna and Västerås. Mälardalen is a region dominated by strong growth with several multinational companies based here such as ABB, Volvo, Westinghouse, Alstom and Northvolt. We enjoy close cooperation with the region’s private sector, municipalities, and county councils. At the School of Innovation, Design and Engineering our students are studying to be for example innovators, entrepreneurs, illustrators, communications officers, network technicians and engineers. Here we have the research specialisations of Embedded Systems, and Innovation and Product Realisation. Our work takes place in cooperation with and in strategic agreements with companies, organisations and public authorities in the region.

Employment information

Employment: Permanent employmentScope: Full timeClosing date for application: 2023-09-29Campus location: VästerasSchool: School of Innovation, Design and Engineering, (IDT)

Position description

The appointment aims to strengthen the competence and strategic leadership in fundamental Computer Science, which is part of the Computer and Data Science (CDS) research direction, and of the Trusted Smart Systems (TSS) profile area in MDU’s strategy. One purpose of this recruitment is to extend the fundamental research of CDS and TSS with respect to providing mathematically grounded theories for developing sophisticated algorithms for real-world problems. This includes mathematical modelling of algorithmic approaches, estimation of the complexity of computational problems, and understanding the limits of efficient computation through computational complexity.

The research focus of this professorship should be in one or several branches of current algorithms research and beyond, for example, algorithms on graphs and data structures/model-checking algorithms, distributed algorithms, networking algorithms, online algorithms, algorithmic game theory, randomized algorithms, probabilistic analysis of algorithms and approximation algorithms, algorithmic foundations of machine learning and artificial intelligence, as well as the computational complexity of problems on discrete structures.

Main duties include:

  • Research
  • Supervision of doctoral students and junior researchers
  • Collaboration with external academic and industrial partners
  • Responsibility for strengthening the Algorithms and Complexity research within CDS and TSS
  • Taking a leading role in the formulation of funding proposals and leading research projects
  • Teaching mainly related to Algorithms and Complexity, Data Structures at PhD and Master level

Taking a leading role in the development of courses related to Theoretical Computer Science.

Qualification requirements

Academic skills will have been demonstrated by independent research work which to a significant degree exceeds the requirements for docent competence (see the University’s Guidelines for assessment of docent competence).

Importance is also attached to the planning and leading of research. Academic skills may also have been demonstrated by the ability to achieve results in research through cooperation in joint projects of benefit to academia and to industry/the public sector/society in general and through the ability to disseminate research.

Teaching skills will have been demonstrated by teaching at first-cycle as well as third-cycle levels. The assessment of teaching skills shall apply to the planning, carrying out and evaluation of teaching as well as supervision and examination. Teaching skills shall be documented in such a way that their quality can also be assessed.

The applicant should have completed ten weeks of training in higher education teaching and learning, or have otherwise acquired equivalent knowledge. A person appointed as a Professor but lacking training in higher education teaching and learning will be offered in-house training within two and a half years. The course in higher education teaching and learning at Mälardalen University corresponds to ten weeks of training.

The applicant should have documented proficiency in successful collaboration with academic and industrial partners.

The applicant should have documented proficiency in leading larger research or collaboration efforts.

The applicant should have documented proficiency in acquiring external funding at both national and international level.

For other information, consult the Higher Education Ordinance, Chapter 4, and the Appointments Procedure for Mälardalen University.

Assessment criteria

The assessment criteria shall be based on the degree of skills required for the appointment. In general terms these assessment criteria shall include the ability to cooperate as well as the ability and suitability otherwise required to fulfil the duties well.

The same attention shall be paid to the assessment of teaching skills as to the assessment of academic skills.

Ability to communicate in fluent English both orally and in writing.

Ability to think strategically and meet strategic goals.

Ability to lead others towards joint objectives, together with ability to cooperate with others in different contexts. 

Decisive importance is attached to personal suitability. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organisation.


We value leadership and collaboration abilities, together with a strong academic and industrial network, as well as ability to establish and maintain such networks.


Application is made online. Make your application by clicking the “Apply” button below.

The scientific publications that you do not have in digital form are to be sent by post in three copies to:

Mälardalen University Division of Human 2023/1605 Box 883 721 23 Västerås

The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the University no later than closing date for application.

We look forward to receiving your application!

We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.

Union representatives:

Michaël Le Duc (SACO), tel: +46 (0) 21-10 14 02Susanne Meijer (OFR), Tel: +46 (0) 21-10 14 89

Contact person

Svetlana Girs


021-10 13 47

Cristina Seceleanu

Associate Professor

+46 (0) 70 283 7717