Tag Archives: Linkôping University

PhD student in Materials Science within the Competence Center FunMat-II

Physical sciences/Math

Ref IFM-2023-00294

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are looking for a PhD student in Materials Science.

Your work assignments

FunMat-II is a Competence Centre in materials science and surface engineering at Linköping University with partners at Uppsala University, the research institute RISE, and numerous Swedish and international industry partners. At Linköping University, the Divisions of Nanostructured Materials, Thin Film Physics, and Theory and Modeling participate.

As a PhD student in FunMat-II, you will conduct application-inspired fundamental research on materials synthesis with physical vapor deposition (PVD) and materials behavior. The work is primarily experimental but in close collaboration with theoreticians. You will be part of a larger research team that is doing collaborative research. Your team members are located at Linköping university and at industrial companies that are partners of the center. You will be part of one or several research projects, which are headed by a senior researcher and a steering group.

You will study defects in coatings synthesized by magnetron sputtering and cathodic arc deposition and their influence on the coating properties. You will be synthesizing coatings in a smart way so that you can use advanced transmission electron microscopy techniques to view defects. You will be collaborating with a strong modelling team to gain further insights to the nature of the defects. The goal is to take advantage of the positive aspects of defects to design better materials for various applications.

As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

Your qualifications

You have graduated at Master’s level in Physics, Materials Science, Materials Chemistry, or similar, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.

You speak and write English fluently.

Your workplace

The Department of Physics, Chemistry and Biology (IFM) in the Nanostructured Materials Division.

The employment

When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University

The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.

Starting date by agreement.

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 10 October 2023.

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Magnus Odén

Professor

+46 13 28 29 96

magnus.oden@liu.se

Lina Rogström

Universitetslektor

lina.rogstrom@liu.se

Read the job descritption at the university homepage

Apply

Post expires on Tuesday October 10th, 2023

PhD students in language and culture

Humanities

Ref IKOS-2023-00274

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are now looking for two PhD students in language and culture

Your work assignments

One doctoral position will specialise in language/interaction and the other in literature. You yourself will have the opportunity to formulate a research project which will suited to our research environment in Language and Culture. 

As a doctoral student, you will devote most of your time to doctoral studies and to your research project. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full time. A high level of presence at your workplace is expected so that you will contribute to a lively intellectual climate.

Your workplace

The doctoral position is located in the research environment Language and Culture, a meeting place for linguistic and literary research, which is unified by an interest in the interplay between language and culture in everyday, literary, media, artistic and professional contexts. Please read more about us here: https://liu.se/en/research/language-and-culture. We look forward to hearing more about how you and your project can contribute to our research environment.

Your qualifications

You will have graduated at master’s level or have completed courses with a minimum of 240 credits (ECTS), at least 60 of which must be advanced-level courses. Alternatively, you will have acquired essentially corresponding knowledge in some other way.

120 credits (ECTS), or the equivalent, of your total credits must be in a subject of central importance to the PhD Programme in Language and Culture. Furthermore, you must also have a good command of English, and preferably also of other languages.

Applicants will be assessed primarily on the basis of their ability to successfully carry out doctoral studies, primarily as indicated by the submitted documentation. Particular importance will be given to your previous theses or other academic production (e.g. published articles) as well as your planned research project. The following assessment criteria will be taken into consideration in the selection process: creativity, maturity, the ability to make independent judgements and carry out critical analyses, as well as any specialised knowledge and experience that the applicant possesses, such as professional experience that may be of relevance to successfully carrying out doctoral studies. 

Terms of employment 

When taking up the post, you will be admitted to the program for doctoral studies. More information about doctoral studies at each faculty is available here.

The appointment is limited to four years’ full-time employment. You will initially be employed for a period of one year. The appointment will subsequently be renewed by a maximum of two years at a time, depending on progress according to your study plan. The appointment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted under special circumstances.

Starting date 1 February 2024.

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than October 13, 2023.

Applications and documents received after the date above will not be considered.

Your application must also include a personal covering letter (an account of why you wish to do a doctoral degree) of no longer than one page, a statement of intentions (a description of your proposed research project) of no longer than three pages, as well as your publications, e.g. essays/theses/articles of merit for the appointment, including master dissertation(s), or the equivalent. The applicants whom we deem to be best able to successfully complete their doctoral studies in language and literature will be called to an interview. Appointment will also take into consideration the competence and expertise possessed by the teachers associated with the PhD programme.

We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Nigel Musk

Senior Associate professor, Head of Research Environment

+46 (0)13 28 18 69

nigel.musk@liu.se

Julien Renard

Head of division

+46 (0)13 28 19 83

julien.p.renard@liu.se

Petra Winsa

HR manager

+46 (0)13 28 24 37

petra.winsa@liu.se

Read the job description at the university homepage

Apply

Post expires on Friday October 13th, 2023

PhD Student in Information Theory and Machine Learning

Engineering/it

Ref LiU-2023-03651

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are looking for a PhD student in Information Theory and Machine Learning to the division of Information Coding (ICG).

Your work assignments

The Information Coding Division (ICG) within the Department of Electrical Engineering (ISY) at Linköping University uses, among others, information theory to develop future-proof communication, identification, and computation methods for future (classical and quantum) networks. Our aim is to approach the ultimate security and privacy performance limits with low-complexity methods. Applications of these methods include physical layer security, private distributed learning, post-quantum cryptography, quantum communications, cybersecurity, security based on the unique features of hardware components, etc.

We invite highly motivated and skilled candidates to apply for a PhD position to conduct research on Information Theory and Machine Learning. Research areas of high interest include (but are not limited to):

  • Privacy for (Distributed) Learning
  • Biometric Secrecy Systems
  • Physical Layer Security & Security for 6G
  • Information Theoretic Analysis of Deep Neural Networks (DNNs)
  • Coding Theory
  • Provable Security for Cybersecurity

As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

Your qualifications

You have graduated at Master’s level in Electrical Engineering, Communication Engineering, Applied Mathematics, Applied Physics or equivalent or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.

Selection for postgraduate education takes place according to the assessed ability to assimilate the postgraduate education. When filling this position, the following competencies will be particularly considered:

  • Solid knowledge in Probability Theory and high motivation to learn fundamentals of information theory and/or deep neural networks are required.
  • Ability to work in a multi-disciplinary and international environment as well as ability to communicate freely in English both orally and in writing are required.
  • Programming skills in one or more of Matlab, Mathematica, C, Python, and VHDL are a plus.

We develop a study plan when the employment begins, so a declaration of intent does not need to be sent with the application.

Your workplace

You will work in the Information Coding Division (ICG) which carries out research, undergraduate and postgraduate education within. The division is part of the Department of Electrical Engineering (ISY). Read more at https://liu.se/en/organisation/liu/isy/icg.

The employment

When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University

The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.

Starting date by agreement.

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than October 15, 2023.

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Onur Günlü

Assistant professor

+46 13 288961

onur.gunlu@liu.se

Guilherme Xavier

Associate professor/Head of division

+46 13-28 13 79

guilherme.b.xavier@liu.se

Karin Blomdahl

HR Coordinator

karin.blomdahl@liu.se

Read the job description at the university homepage

Apply

Post expires on Sunday October 15th, 2023

Postdoc in scientific visualization group with focus Visual analysis of high-resolution spectral data

Engineering/it

Ref LiU-2023-03559

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are now looking to appoint a Postdoc in scientific visualization group at Linköping University formally formally based at the Department of Science and Technology, Campus Norrköping

Research area
Visual analysis of high-resolution spectral data from photon-counting detector computer tomography imaging (PCD-CT)

Work assignments

A Postdoc will essentially carry out research. The position may also involve teaching, but during no more than a fifth of work time.

The objective of this PostDoc is to develop methods for the analysis and visualization of data collected from a new Photon-Counting Detector Computer Tomograph (PCD-CT) at the Center for Medical Image Science and Visualization (CMIV) at Linköping university. It offers new opportunities in imaging the coronary arteries and assessment of cardiac function. This technology is groundbreaking and currently limited to very few centers in the world. The larger context of this project is to develop a pipeline for the generation of personalized heart models improving the treatment of cardiovascular diseases in the future.

You will be part of the team that develops methods to supports an efficient and effective analysis of the data for diagnosis and model building, integrated into a visual data browser with high-quality rendering. Your part involves researching extensions to commonly used methods, like volume rendering or flow visualization, to this new kind of data.

This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, within fields essential for improving the people´s lives, detecting and treating diseases, protecting biodiversity and creating sustainability. The programme will train the next generation of life scientists and create a strong computational and data science base. The program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. Read more: https://www.scilifelab.se/data-driven

Within the WASP-DDLS financed project “Huge Complex Diagnostic Imaging Data”, two postdoc will work jointly on a pipeline for the generation of personalized models from huge complex imaging data.

Qualifications

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree.  This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.

It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

We are looking for an experienced researcher with a background in applied visualization and rendering. The candidate should hold a PhD degree in Computer Science or a related subject. The candidate should have excellent programming skills in c/c++ or similar, and good knowledge of graphics programming. Fluency in spoken and written English is beneficial. Since the position is on the interface between image analysis and visualization strong skills in interdisciplinary communication and collaboration are required.

Great emphasis will be placed on personal qualities and suitability.

The workplace

You will be employed in the department of Science and Technology and the division Media and Information Technology. 

The employment

This post is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The position as a postdoc is full-time.

Starting date
By agreement.

Salary and employment benefits

Salaries at the university are set individually. State your desired salary in the application.

More information about employee benefits is available here.

Union representatives

Information about trade union contacts can be found here.

Application procedure

Apply for this position by clicking on the button labelled “Apply” below. Your application must reach Linköping University no later than October 16, 2023.

Applications received after the deadline will not be considered. 

We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Ingrid Hotz

Professor, unit manager

+46 11 363462

ingrid.hotz@liu.se

Martina Klefbeck

HR partner

011-363166

martina.klefbeck@liu.se

https://liu.se/en/work-at-liu/vacancies/22764

Apply

Post expires on Monday October 16th, 2023

Postdoc in Scientific Visualization with focus on applied scientific data analysis and visualization

Engineering/it

Ref LiU-2023-03437

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are now looking to appoint a postdoc in Scientific Visualization with focus on applied scientific data analysis and visualization.

Work assignments

This position is part of a joint collaboration between the two of the largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines. 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: htps://wasp-sweden.org/

Within the WASP-DDLS financed project “Enlightening biology: bridging time-resolved experiments in silico”, two postdocs will work jointly on designing visual analysis methods with the aim of gaining a deeper understanding of light-induced biological processes.

Large-scale simulations rooted in quantum mechanics are currently being developed to understand light-induced processes in biological systems that produce complex, feature-rich, and high-dimensional data in addition to traditional molecular dynamics trajectories. However, extracting meaningful information from this data that provides new insight is still an open challenge. The goal of this postdoc position is to explore and develop a variety of novel analysis and visualization techniques with the aim to capture meaningful summaries of, and the features within, this complex high-dimensional data. Techniques from topological data analysis (TDA) will be extensively used to summarize and define robust comparison metrics for scalar and multifield data, as well as for tasks such as extraction, comparison, and tracking of features within. From the perspective of visualization, we aim to develop novel methods to combine the sub-fields of molecular and multifield visualization. We anticipate that our innovative methods will pave the way for a new, independent sub-area within the field of scientific visualization research, with significant potential for growth in the future.

As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.

Qualifications

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree.  This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.

It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

We are looking for an experienced researcher with a background in applied visualization and data analysis. The candidate should hold a PhD degree in Computer Science or a related subject. The candidate should have excellent programming skills in C++, Python, or similar, and preferably have good knowledge of graphics programming. Knowledge of designing efficient data structures and algorithms suited for parallel computing would be advantageous. Fluency in spoken and written English is beneficial. Since the position involves high level of collaboration with theoretical chemists and biologists, strong skills in interdisciplinary communication and collaboration are required.

Great emphasis will be placed on personal qualities and suitability.

The workplace

You will be employed in the group for Scientific Visualization which is a part of the division Media and Information Technology on The department of Science and Technology (ITN)

The employment

This post is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The position as a postdoc is full-time.

Starting date by agreement

Salary and employment benefits

Salaries at the university are set individually. State your desired salary in the application.

More information about employee benefits is available here.

Union representatives

Information about trade union contacts can be found here.

Application procedure

Apply for this position by clicking on the button labelled “Apply” below. Your application must reach Linköping University no later than 31st of October 2023.

Applications received after the deadline will not be considered. 

We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Talha Bin Masood

Assistant professor

talha.bin.masood@liu.se

Emma Törnqvist

HR partner

+46 11-363448

emma.tornqvist@liu.se

URL to this page

Read the job description at the university homepage

Apply

Post expires on Tuesday October 31st, 2023

PhD student in Visualization and Media Technology with focus on Scientific Visualization

Engineering/it

Ref LiU-2023-03052

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are looking for a PhD student in Visualization and Media Technology with focus on Scientific Visualization

Your work assignments

This Ph.D. position is motivated by the need for reliable visualization and data analysis methods that support understanding of the increasing amount of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D. will be developing efficient and reliable algorithms that arise in the context of topological data analysis and rendering for the visualization of large amounts of data. Close cooperation with other visualization projects in various application areas is expected.

As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

Your qualifications

You have graduated at a Master’s level in Computer Science, Mathematics, or a closely related subject or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in the respective area.  Alternatively, you have gained essentially corresponding knowledge in another way.

The candidate should have excellent programming skills, preferably C++, and good knowledge of graphics programming and enjoy solving algorithmic challenges Fluency in spoken and written English is also a requirement. Knowledge and experience in one or more of the following areas would be advantageous: experiences in applied visualization, topological data analysis, and computer graphics.

Great emphasis will be placed on personal qualities and suitability

Your workplace

The scientific visualization unit is a part of the division Media and Information Technology at The department of science and Technology (ITN) at Linköping University. The focus is on research ranging from basic research questions in scientific visualization, with a focus on topological data analysis, to a wide range of application driven questions. A primary interest is developing reliable methods based on rigid mathematical foundations targeting visualization needs from specific applications.

Read more here: Scientific Visualization – Linköping University (liu.se)

The employment

When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University

The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.

Starting date by agreement.

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than November 30, 2023.

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Ingrid Hotz

Professor, Head of unit

+4611 36 34 62

ingrid.hotz@liu.se

Emma Törnqvist

HR partner

+4611 36 34 48

emma.tornqvist@liu.se

Read the job description at the university homepage

Apply

Post expires on Friday December 1st, 2023

Postdoctoral researcher for research on deep learning for pathology diagnostics

Engineering/it

Ref LiU-2023-03295

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are now looking to appoint Postdoctoral researcher for research on deep learning for pathology diagnostics.

One of the positions is part of a joint collaboration between the two of the largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.

Work assignments

A Postdoc will essentially carry out research. The position may also involve teaching, but during no more than a fifth of work time. As a postdoctoral researcher in this project, you will collaborate with medical and technical scientists, as well as clinical colleagues.

Pathology diagnostics is a central part of the clinical trajectory for many patients. Pathology involves microscopic study of human tissues and cell samples to detect and classify disease states. As imaging data increasingly is becoming digitized, there are ample opportunities for AI to diagnostically analyze the images – often at a level comparable to human experts. The potential benefits of AI are perhaps greatest in low-resource settings lacking medical resources, which is one target scenario for our research.

The method development in this project will be at a high technical level, for instance exploring novel generative methods for histology data. A key aspect of our work is also to thoroughly address the demands from real clinical usage. Such demands include high performance, close adherence to diagnostic workflows, and capacity to deal with data of limited quality. You will be active in an environment with several experts working towards similar goals.

Qualifications

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.

It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

We are looking for highly motivated and creative researchers with a PhD degree in Computer Science, Data Science, Physics, Engineering or Biomedical Sciences or similar. You have a strong interest in machine learning and image analysis. Previous experience with deep learning is a necessity for these positions. You have an affinity with medical applications, and experience from whole-slide imaging in histology is a strong merit. Good communication skills and expertise in software development are essential.

The workplace

The workplace for the position is the Center for Medical Image Science and Visualization (CMIV), at Linköping University Hospital. CMIV is an interdisciplinary research center with great international impact. Through close collaboration between clinical practice and research in engineering and medicine CMIV creates solutions for future challenges. The goal is to create innovative methods and tools for image analysis and visualization that can be applied in healthcare and medical research. CMIV is connected to the pathology department of Linköping University Hospital, being a global pioneer for digital pathology in clinical use since more than 10 years. Read more at www.liu.se/cmiv

One of the positions is also part of the WASP and DDLS programmes. Wallenberg AI, Autonomous Systems and Soware 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 SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, within fields essential for improving the people’s lives, detecting and treating diseases, protecting biodiversity and creating sustainability. The programme will train the next generation of life scientists and create a strong computational and data science base. The program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. Read more: https://www.scilifelab.se/data-driven

The employment

This post is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The position as a postdoc is full-time.

Starting date
Autumn 2023 or by agreement.

Salary and employment benefits

Salaries at the university are set individually. State your desired salary in the application.

More information about employee benefits is available here.

Union representatives

Information about trade union contacts can be found here.

Application procedure

Apply for this position by clicking on the button labelled “Apply” below. Your application must reach Linköping University no later than October 2, 2023.

Applications received after the deadline will not be considered. 

We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Claes Lundström

Adjungerad professor

+46 706 055016

claes.lundstrom@liu.se

Martina Klefbeck

HR partner

011-363166

martina.klefbeck@liu.se

Read the job description at the university homepage

Apply

Post expires on Monday October 2nd, 2023