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

 


At our department characterized by world-leading research in several scientific fields and a multitude of educations ranked highly in international comparison we now look for two post doctors in AI for Data Management.  Deadline for application is 30 June 2022.

The department has been growing rapidly in recent years where focus on an inclusive and bottom-up driven environment are key elements in our sustainable growth. Our workplace consists of a diverse group from different nationalities, background and fields. If you work as a postdoc with us you receive the benefits of support in career development, networking, administrative and technical support functions along with good employment conditions. See more information at:

https://www.umu.se/en/department-of-computing-science/

Project description and working tasks

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.

The research project investigates foundational aspects and develops advanced software tools for the 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). The project will build on the open source system Ontop (http://ontop-vkg.org/) and will be carried out in close collaboration with the research team of Prof. Calvanese at the Free Univ. of Bozen-Bolzano, Italy. It aims at extending the foundations, implementation, and application areas of VKGs along several directions:

  • (i) dealing with additional forms of data/knowledge (e.g., temporal, geospatial, aggregated, numeric);
  • (ii) managing heterogeneous data sources of different types (e.g., graph-data, json, xml, csv, streaming, textual);
  • (iii) tackling novel kinds of problems (e.g., provenance and explanation, personalization, data analysis and machine learning over VKGs, optimization and performance tuning); and
  • (iv) applying VKGs to novel domains (e.g., industry 4.0, smart cities, e-health).

The activities in the project range from foundations to the actual design, implementation, and optimization of advanced algorithms. Depending on qualifications and interests, the postdoc can carry out more foundational and theoretical research or more application-oriented research, or a combination of both.

The postdoc is expected to actively collaborate with and support PhD students in the area of AI for Data Management.

The positions are funded by Wallenberg AI, Autonomous Systems and Software Program (WASP) which is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/

Terms of employment

The appointment is for two years full-time employment. Postdocs are typically offered the opportunity to gain teaching experience on suitable undergraduate courses. Expected starting date is October 2022 or as otherwise agreed. 

Qualifications

To be appointed under the postdoctoral agreement, the postdoctoral fellow is required to have completed a doctoral degree or a foreign degree deemed equivalent to a doctoral degree. This qualification requirements must be fulfilled no later than at the time of the appointment decision.

To be appointed under the postdoctoral agreement, priority should be given to candidates who completed their doctoral degree, according to what is stipulated in the paragraph above, no later than three years prior. If there are special reasons, candidates who completed their doctoral degree prior to that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Postdoctoral fellows who are to teach or supervise must have taken relevant courses in teaching and learning in higher education.

The following are required qualifications:

  • Documented knowledge and proven research experiences in one or more of semantic technologies (e.g., RDF, SPARQL, OWL), their foundations in knowledge representation and reasoning (e.g., description logics, logics for knowledge representation), and data management.
  • A very good command of the English language

The following are additional desirable qualifications:

  • Good research achievements and scientific publications in the project areas.
  • Capability to advance the state of the art and produce high quality scientific articles that warrant publication in the top-rated international conferences and journals in the project areas.
  • International research experience.
  • Development experience in Java, preferably in large-scale projects.

Desirable personal skills:

  • Strong motivation and interest in developing new competences and acting in an international environment.
  • Good communication skills as well as ambition and good ability to co-operate in a team.
  • Independency, creativity, and passion for research.

Application
The application should include:

  • An introductory letter summarizing qualifications, research interests, and motivation for applying (max 2 pages);
  • CV with list of publications;
  • Copies of PhD thesis and of (max 10) relevant scientific publications;
  • Verified copies of degree certificates, including documentation of completed academic courses and obtained grades;
  • Name and contact information for two or three persons willing to act as references;
  • Any other relevant information, e.g., software development or previous industry experiences.

The application must be written in English (preferred) or Swedish. The application is made through our electronic recruitment system. Documents sent electronically must be in Word or PDF format. Log in to the system and apply via the button at the end of this page. The closing date is 30 June 2022.

Further details are provided by Prof. Diego Calvanese, diegoc@cs.umu.se.

We look forward to your application!

Admission

221001

Registration number

AN 2.2.1-737-22

Salary

Monthly pay

Apply

before

2022-06-30

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

 


At our department, characterized by world-leading research in several scientific fields and a multitude of educations ranked highly in international comparison, we now look for a Doctoral student in AI for Data Management.

The Department of Computing science has been growing rapidly in recent years where focus on an inclusive and bottom-up driven environment are key elements in our sustainable growth. The 50 doctoral students within the department consists of a diverse group from different nationalities, backgrounds and fields. If you work as a doctoral student with us you receive the benefits of support in career development, networking, administrative and technical support functions along with good employment conditions. See more information at:
https://www.umu.se/en/department-of-computing-science/

Is this interesting for you? Welcome with your application before 30 June 2022

Project description

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). Specifically, the project aims at extending VKGs to address novel settings, that may include the following elements:

  • (i) additional forms of data/knowledge (e.g., temporal, geospatial, aggregated, numeric);
  • (ii) heterogeneous data sources of different types beyond relational ones (such as graph-structured data, json, xml, csv, streaming, textual);
  • (iii) novel kinds of problems, notably provenance, explanation, personalization, data analysis and machine learning over VKGs, optimization and performance tuning; and
  • (iv) novel applications of VKGs (e.g., industry 4.0, smart cities, e-health).

Depending on the qualifications and interests of the student, the PhD research topic can include one or more of the above extensions of the traditional VKG paradigm, and can be targeted more towards foundational and theoretical research or more towards applied and experimental research.

Description of research group

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, two additional post-doctoral researchers and several PhD students. The group will closely collaborate with the research team of Prof. Calvanese at the Free University of Bozen-Bolzano (Italy), 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.

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/

The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school

Admission requirements

The general admission requirements for doctoral studies are a second- cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits are at second-cycle level, or have an equivalent education from abroad, or equivalent qualifications. To fulfil the specific entry requirements for doctoral studies in computing science, the applicant is required to have completed at least 90 ECTS credits in computing science, or in a subject considered to be directly relevant for the specialization in question. Applicants who otherwise have acquired skills that are deemed equivalent are also eligible.

Candidates are expected to have very good knowledge in databases, data management and data modeling principles, or in semantic technologies and artificial intelligence (including knowledge representation and reasoning). For a more theoretically oriented PhD, candidates are expected to have a solid background in the formal foundations of computer science (including mathematics, discrete mathematics, mathematical logic, theory of computation, possibly complexity theory).  For a more applied PhD, candidates are expected to have good programming skills and ideally experience in open-source and collaborative software project development.

Important personal qualities are good communication skills, including good communicative skills in English, good ability to co-operate within a team, ability to quickly grasp new concepts and place them in context, and creativity.

 Terms of employment

The position is aimed for PhD studies and research during four years, leading to a PhD exam. It is mainly devoted to postgraduate studies (at least 80% of the time), but may include up to 20% department service (usually teaching). If so, the total time for the position is extended accordingly (up to maximum five years). Expected starting date is October 2022, or as otherwise agreed.

The procedure for recruitment for the position is in accordance with the Higher Education Ordinance (chapter 12, 2§) and the decision regarding the position cannot be appealed.

 Application

Applications must be submitted electronically using the e-recruitment system of Umeå University.

 A complete application should contain the following documents:

  • A cover letter including a description of your research interests, your reasons to apply for the position, and your contact information;
  • A curriculum vitae;
  • Reprints / copies of completed BSc and/or MSc thesis and other relevant publications, if any;
  • Copies of degree certificates, including documentation of completed academic courses and obtained grades;
  • Contact information for two persons willing to act as references;
  • Documentation and description of other relevant experiences or competences.

The application must be written in English (preferably) or Swedish. Attached documents must be in Word or pdf format. Applications must be submitted electronically using the e-recruitment system of Umeå University, and be received no later than 30 June 2022.

The Department of Computing Science values gender diversity, and therefore particularly encourages women and those outside the gender binary to apply for the position.

For additional information, please contact Professor Diego Calvanese (diegoc@cs.umu.se).

We look forward to receiving your application!

Admission

221001

Registration number

AN 2.2.1-738-22

Salary

Monthly pay

Apply

before

2022-06-30


Assistant professor of Data driven Precision Medicine and Diagnostics

 


Together with SciLifeLab and in collaboration with the Wallenberg Centre for Molecular Medicine (WCMM), the university’s Faculties of Medicine and Science and Technology announce the appointment of an assistant professor. This appointment offers a unique opportunity to establish oneself as a researcher in the field of data-driven life science and includes access to a formidable package of resources.

Project description: DDLS Fellows Program

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.

The DDLS program will focus on four strategic areas of data-driven research: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and infection biology. We are now looking for the first 20 young group leaders to join us as DDLS Fellows.

Each DDLS Fellow will receive a recruitment package of 17 MSEK, which is meant to cover 5 years of his/her own salary, two PhD students and two postdoc positions, as well as running costs. The Fellow positions are tenure-track, and the universities/organizations will assume the long-term responsibility of their support as tenured faculty.

The future of life science is data-driven. Will you be leading that change with us? Then apply now!

Subject description and duties

Umeå University is seeking a DDLS Fellow in Data-driven Precision Medicine and Diagnostics

The subject area concerns research that will make use of computational tools to integrate molecular and clinical data for precision medicine and diagnostic development. The focus is on data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is expected to contribute with strong capabilities in machine learning and AI and other computational tools to make use of existing strong assets in Sweden, such as molecular data (e.g., omics), imaging, electronic health care records, longitudinal patient and population registries, biobanks and digital monitoring data.

The purpose of an appointment as an assistant professor is to provide you with every opportunity to conduct successful research within the above-described field, to develop as an autonomous researcher and research leader and to acquire further scientific and teaching qualifications in the discipline of data-driven precision medicine and diagnostics in order to meet the requirements for appointment as an associate professor. The position will mainly (at least 80%) be focused on obtaining scientific qualifications, with the remaining time largely devoted to obtaining teaching qualifications. Administrative tasks may also be included.

Eligibility/requirements

Eligible to apply for this appointment as an assistant professor is a person who has completed a PhD or has the corresponding research expertise. Primary consideration should be given to a person who has completed a PhD or achieved the equivalent expertise within five years of the deadline for application for employment as an assistant professor. However, a person who has completed a PhD or achieved the equivalent expertise at an earlier date may also be considered if there are exceptional circumstances. Exceptional circumstances are sick leave, parental leave or other similar circumstances (Chapter 4 Section 4a of the Swedish Higher Education Ordinance).

Assessment criteria

In assessing suitability for this appointment, primary consideration shall be given to research expertise. In addition, pedagogical skills and administrative skills will also be taken into account.

General assessment criteria for teaching staff at Umeå University are that the applicant has both a good ability to collaborate and the requisite competence and suitability in general to perform the duties of the post to a high standard.

Description of the assessment criteria

In assessing research expertise, specific consideration shall be given to the originality and autonomy of research and the potential for the applicant to develop their own successful line of research within data-driven precision medicine and diagnostics, in particular regarding the use of computational tools to integrate molecular and clinical data for precision medicine and diagnostic development. Ability to integrate, analyze, visualize and interpret data for patient stratification, discovery of diagnostic biomarkers for disease risk, drug response and monitoring of health will be assessed. Furthermore, the assessment includes the applicant's potential to contribute to building competence in machine learning, AI and other computational tools, as well as making use of existing strong assets in Sweden, such as molecular data (e.g., omics), imaging, electronic health care records, longitudinal patient and population registries, biobanks and digital monitoring data.

Postdoctoral research conducted outside the university at which the applicant completed their PhD provides a particularly useful qualification.

In assessing teaching expertise, consideration will be given to the planning, implementation and evaluation of teaching, as well as to academic supervision and examinations.

Administrative skills can be demonstrated through experience of planning first and second-cycle courses and programmes, the ability to lead and help other to develop, etc. 

For this appointment, a particularly useful qualification is provided by experience of research in the field of data-driven life science, especially specialization in precision medicine and diagnostics, including the use of computational tools to integrate molecular and clinical data for precision medicine and diagnostic development, and the applicant is expected to have a research profile that fits the purpose of the appointment.

More about the appointment

Organisationally, the position in question will be affiliated to either the Faculty of Medicine or Faculty of Science and Technology. Departmental affiliation will be decided in consultation with the successful candidate, based on where their research best fits. Please feel free to state your preferred department in your application.
Link to website with information on potential host departments, WCMM and available infrastructure. https://www.umu.se/en/wallenberg-centre-for-molecular-medicine/ddls-precision/

The position is a five-year, full-time, fixed-term appointment pursuant to Chapter 4 Section 12a of the Higher Education Ordinance, with the right to be considered for promotion to associate professor. The criteria for promotion shall be determined no later than the start of employment. An application to be considered for promotion must be submitted six months before the end of the fixed-term appointment. If, after due consideration, it is decided not to promote an assistant professor, the fixed-term appointment shall be terminated.

A teaching and research development plan shall be drawn up in conjunction with the appointment and one teaching and two research mentors shall be appointed to support the successful candidate in implementing this plan.

Application
Last application date is 2022-07-27Instructions for the application and a list of the documents to be attached to the application can be found here.

You apply via our e-recruitment system which you can reach via the application button below. When the application is received, you will receive a confirmation email.

We welcome your application!

Admission

According to agreements

Contact

Lars Nyberg

 

070-6092775

Registration number

AN 2.2.1-845-22

Salary

Monthly salary

Union representative

SACO

 

+4690-7865365

SEKO

 

+4690-7865296

ST

 

+4690-7865431

Apply

before

2022-07-27

Postdoc position in computing science with focus on federated learning

 


The Department of Computing science seeks a postdoc who will work with trustworthy federated learning. The employment is full-time for two years with starting date by agreement.

Department of Computing science

The department characterized by world-leading research in several scientific fields and a multitude of educations ranked highly in international comparison. The department has been growing rapidly in recent years where focus on an inclusive and bottom-up driven environment are key elements in our sustainable growth. As part of this growth, we now look for a Postdoc in trustworthy federated learning. The workplace consists of a diverse group from different nationalities, background and fields. If you work as a postdoc you receive the benefits of support in career development, networking, administrative and technical support functions along with good employment conditions. See more information at:

https://www.umu.se/en/department-of-computing-science/

The research group in distributed system is internationally well-known and comprising more than 20 people of 10 different nationalities, and is currently recruiting up to 15 more researchers. The group’s research focuses on the (semi-)autonomous management of resources and applications to support the future digitized society. Target infrastructures range from single large-scale cloud datacenters to mobile edge clouds and includes individual servers, clusters, or disaggregated systems, such as rack-scale systems. The research spans from basic to applied research, and even innovation via spin-off companies. Collaborations are performed with industries like Google, IBM, Intel, Red Hat, and Ericsson, as well as universities and institutes such as Princeton University, University of Massachusetts Amherst, Carnegie Mellon University, Princeton University, Lawrence Berkeley Lab, Nanyang Technical University in Singapore, Uppsala University, Lund University, Universidad Complutense de Madrid, Leeds University, Barcelona Supercomputer Center, TU Vienna, TU Delft, and many more. See www.cloudresearch.org for a presentation of the group as well as an overview of ongoing research projects and publication lists. For more information about the research group, please see: https://www.umu.se/en/research/groups/autonomous-distributed-systems-lab/

Project description and working tasks

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.

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/

Qualifications

To be appointed under the postdoctoral agreement, the postdoctoral fellow is required to have completed a doctoral degree or a foreign degree deemed equivalent to a doctoral degree. This qualification requirements must be fulfilled no later than at the time of the appointment decision.

To be appointed under the postdoctoral agreement, priority should be given to candidates who completed their doctoral degree, according to what is stipulated in the paragraph above, no later than three years prior. If there are special reasons, candidates who completed their doctoral degree prior to that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Postdoctoral fellows who are to teach or supervise must have taken relevant courses in teaching and learning in higher education.

Ideal candidates are research-driven, organized, and would like to work on challenging problems and innovative solutions. We are open to candidates with strengths in federated machine learning under multi-constraints settings and relevant to the research environment. Knowledge and experience in federated learning algorithms, distributed algorithms, learning with data scarcity, data-centric optimization, resilient or fault-tolerant learning, trustworthy learning, mathematical statistics, anomaly detection, cloud-native systems, serverless systems, etc. is desirable.

Application

A full application should include:

Personal letter that clarifies how your background meets the needs and expectations of this position, Curriculum vitae (CV) with publication list, Verified copy of doctoral degree certificate or documentation that clarifies when the degree of doctor will likely be obtained, Verified copies of other diplomas, list of completed academic courses and grades, Copy of doctoral thesis and up to three relevant articles, Contact information for at least two reference persons, Other documents that the applicant wishes to claim.

The application must be written in English or Swedish. The application is made through our electronic recruitment system. Documents sent electronically must be in Word or PDF format. Log in to the system and apply via the button at the end of this page. The closing date is June 30, 2022.

Further details are provided by Assistant Professor Monowar Bhuyan at monowar@cs.umu.se or Professor Erik Elmroth at elmroth@cs.umu.se

Admission

As soon as possible, by agreement

Registration number

AN 2.2.1-1042-22

Salary

Monthly pay

Apply

before

2022-07-30

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

 


The Department of Political Science is recruiting a doctoral student in political science with a focus on Transformation, Riskification and Geopolitics in the Arctic. Starting date September 1, 2022 or by agreement.

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?

As a doctoral student, you will be part of an interdisciplinary context with affiliation to both your own department and the Arctic graduate school with a focus on sustainable development.

Here you can read more about the Arctic graduate school at Arcum (link).

The employment

A position as a doctoral student in the doctoral program amounts to four years of full-time studies (240 higher education credits). A Ph.D. student can also participate in teaching or other departmental activities up to 20% of the time. In such cases, the employment is extended corresponding to this time, at most by a year.

Further information about the department's doctoral education in political science, which is based on the general study plan, is available at: https://www.umu.se/en/department-of-political-science/education/doctoral-studies/

The student will work in Umeå and the teaching takes place on the campus area. Active participation in the department's activities and involvement in the activities is expected.

Eligibility

To possess basic eligibility, the applicant should hold an advanced degree, have completed studies equivalent to at least 240 higher education credits, of at least 60 credits at an advanced level and at least 90 credits within Political Science. Persons who in some other manner, in Sweden or abroad, have acquired skills that are equivalent to this requirement can ask to be considered eligible

Requirements

Your competence is assessed on the basis of suitability for the doctoral program.
 
The selection of eligible applicants will be based on:
• ability to assimilate the education
• previous academic study results
• the quality of the submitted research plan, in relation to the focus of the advertised doctoral position
 
The following assessment criteria are considered, examining the ability to assimilate the education:
• analytical ability
• communicative ability, written and oral
• critical ability
• independence
• performance within given time frames
 
Applicants must be proficient in both oral and written communication in English.
 
Application

You apply via our recruitment system Varbi.
 
A complete application must include:

  • A cover letter summarizing your qualifications, scientific interests and motives for applying (max two pages)
  • Research proposal of 3-5 pages with a discussion of possible problems, purpose, theory and empirical data
  • CV / curriculum vitae
  • Copies of grades and diplomas at least one (but not more than three)
  • Essays / degree projects (C- and master's / master's thesis), written in English or Swedish
  • Contact information for one or more reference persons, alternatively two reference letters
  • Any other merits of relevance for the position

Umeå University will offer a salary according to the current salary order for doctoral studies. The entry level is currently 29 000 SEK per month. According to the Higher Education Ordinance (Chapter 12, Section 2), the decision on employment cannot be appealed.
 
About the Department of Political Science

The Department of Political Science at Umeå University has about 70 employees. The department conducts undergraduate education and research in political science and peace and conflict studies. For more information, see https://www.umu.se/en/department-of-political-science/.

Formalities for the application are stated in this advertisement, but any questions can also be asked via e-mail Postgraduate programme coordinator Torbjörn Bergman at torbjorn.bergman@umu.se or head of department Magnus Blomgren at magnus.blomgren@umu.se. For more information about the project please contact Professor Niklas Eklund, niklas.eklund@umu.se, Professor Camilla Sandström, camilla.sandstrom@umu.se
 
We look forward to your application!

Admission

1 sept eller enligt överenskommelse

Contact

Niklas Eklund, professor

 

niklas.eklund@umu.se

Camilla Sandström, professor

 

camilla.sandstrom@umu.se

Magnus Blomgren, prefekt

 

090-7866171

Registration number

AN 2.2.1-772-22

Salary

Månadslön

Union representative

SACO

 

090-7865365

SEKO

 

090-7865296

ST

 

090-7865431

Apply

before

2022-08-05

Phd position in informatics

 


The ongoing digitalization of the real estate industry is of major strategic interest for both the industry itself and on the national level, as the implementation of digital technology, such as sensor-based systems (Internet of Things, IoT) are prompting real estate firms to explore new avenues for value creation and at the same time improve energy efficiency with the expectation of reaching targeted sustainability goals. The implementation of sensor technology has received considerable attention in practice, but not garnered as much attention in research, especially not from an organizational or managerial perspective. This PhD position is focused on the real estate industry's digital transformation and intends to map and analyze the new opportunities, challenges, values ​​and practices that are created through the introduction of IoT. The purpose is to be able to contribute knowledge about how organizations consciously and strategically use new digital technology in combination with existing resources to change existing operations and achieve sustainability goals.

The doctoral student position is linked to the MIT graduate school, where the doctoral student takes part of courses and participates in doctoral student conferences at other universities. The employment is also linked to the research environment Swedish Center for Digital Innovation (www.scdi.se) which is located at the Department of Informatics. The research at the center is largely carried out in collaboration with partners from business, research institutes and other universities and schools.

The employment
You will be employed by and admitted at the doctoral programme at the Department of Informatics, Umeå University. 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.

Eligibility
The applicants must have a degree at advanced level in informatics or equivalent. Basic eligibility for admission to doctoral education is a completed degree at advanced level or completed course requirements of at least 240 higher education credits, which of at least 60 credits at an advanced level, or in some other way within or outside the country acquired essentially equivalent knowledge. In order to meet the requirement for special eligibility to be admitted to doctoral education in informatics, the applicant must have a university education in informatics of at least 90 credits, and 60 credits on advanced level in informatics (master's level) or other education of equivalent scope and specialization. The requirements are also considered to be met by those who in other ways, within or outside the country, have acquired substantially equivalent knowledge.

Other qualifications
Since the doctoral student is expected to conduct studies and interviews in Sweden and at the same time will be part of a multicultural institution, an ability to communicate well in both Swedish and English is important. In selection among eligible applicants, great emphasis is placed on the ability to assimilate the education, previous study results and the quality of the submitted research plan. In other aspects, reference is made to agreement on employment as a doctoral student (Chapter 5) and access to education (Chapter 7) in the Higher Education Ordinance.

Application
The application must include:
• An introductory letter / personal letter (1 page)
• Research proposal (research sketch) presenting your research ideas (2 pages)
• Curriculum Vitae (CV)
• Copies of previous degrees (MSc / MA and / or BSc / BA)
• Copies of study grades including documentation of completed academic courses and grades and other merits
• Copies of published own research and thesis (if any) • Contact information for two reference persons

The application must be complete for it to be processed in the recruitment process. The application must be made via the e-recruitment system Varbi.

Admission

Autumn 2022

Contact

Katrin Jonsson

 

090-7869387

Ulrika H. Westergren

 

090-7867467

Tina Lundmark

 

090-7866438

Registration number

AN 2.2.1-998-22

Salary

Montly Salary

Union representative

SACO

 

090-7865365

SEKO

 

090-7865296

ST

 

090-7865431

Apply

before

2022-08-15

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International Institute for Management Development in Switzerland invites application for vacant (11) Job opportunities

International Institute for Management Development in Switzerland invites application for vacant (11) Job opportunities