Tag Archives: Linkôping University

Postdoc in machine learning for image generation

Norrkoping

Ref LiU-2022-02090

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

At the Department of Science and Technology, at the university’s Norrköping campus, we provide education and conduct research in physics and electronics, communications/logistics and media- and information technology. The department is recognised for its work in fields including logistics, visualisation and organic electronics. We combine academic excellence with fruitful collaboration with the Community.
Read more at https://liu.se/en/organisation/liu/itn

We are now looking to appoint a postdoc in machine learning with a focus on generative deep learning, placed at the Division for Media and Information Technology at the Department of Science and Technology, Campus Norrköping.

The position is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP). 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. For more information, please see: https://wasp-sweden.org/

Research area
The research area for the advertised position lies in the intersection of machine learning, deep learning, computer graphics and computer vision. The goal is to create synthetic image data with combinations of computer graphics and generative deep learning. The generated images will be used as training data in machine learning applications, for improving performance and robustness, or as a tool for anonymizing sensitive images. The developed methods will be tested in various applications, e.g. for medical imaging diagnostics. The project includes both basic research on the development of new image generation methods, as well as applied research to show the benefits of the new methods.

Our research group consists of 20 PhD students, senior researchers and research engineers. We conduct research projects in areas spanning from deep learning and medical imaging, to computer graphics and computational photography.

Work assignments
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.

In addition to independently conducting research projects, you will collaborate with doctoral students and senior researchers within our research group.

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.

You should have a doctoral degree in computer science, with a focus on machine learning for imaging applications. You must have previous experience of running projects in basic and/or applied machine learning, and specifically in deep learning. Experience in generative deep learning, computer graphics, and computer vision is particularly meritorious.

Great emphasis will be placed on personal qualities and suitability.

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

More information about employee benefits is available here.

Trade 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 August 31, 2022.

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

Gabriel Eilertsen

Assistant Professor

gabriel.eilertsen@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 August 1st, 2022

PhD student in visualization and media technology with a focus on immersive visualization.

Norrkoping

Ref LiU-2022-02105

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

At the Department of Science and Technology, at the university’s Norrköping campus, we provide education and conduct research in physics and electronics, communications/logistics and media- and information technology. The department is recognised for its work in fields including logistics, visualisation and organic electronics. We combine academic excellence with fruitful collaboration with the Community.
Read more at https://liu.se/en/organisation/liu/itn

We are looking for a PhD student in visualization and media technology with a focus on immersive visualization.

Your work assignments
The goal of this project (and this employment) is to develop new methods for the synthesis of realistic images of real urban environments. We want to bridge the gap between large-scale structures and details up close. Examples are image data captured by municipalities using aerial and drone photogrammetry and photographs with a high level of detail of facades on buildings and urban environments.

The result should provide a realism in the human scale for VR and AR applications. The large-scale structures, metadata from databases as well as high-quality models and textures are processed with a hybrid model of rule-based and deep learning techniques to be able to create realistic images for AR / VR users in real-time applications.

There are two parts of the imaginary system where you will focus the work. One consists of deep learning techniques and offline processing to synthesize assets or generate parameters for procedural materials and 3D models.

The second consists of techniques for real-time rendering of synthesized data or parameterized materials / models to create realistic immersive virtual environments using Unreal Engine.

As a doctoral student, you devote your time to doctoral studies and research within the projects in which you are included. Your work can also include teaching or participating in other departmental assignments, up to 20% of full-time.

This doctoral position is part of the project Real-Time Realistic Pixel Synthesis using Deep Learning for Augmented and Virtual Reality, which is a joint project between Lund University and Linköping University. The project is part of the research program ELLIIT.
https://elliit.se/?project=real-time-realistic-pixel-synthesis-using-deep-learning-for-augmented-and-virtual-reality

Your workplace
You will work in the department of Media and Information Technology. Activities at the department also form LiU’s part of the consortium Visualization Center C. As a doctoral student in this environment, you will also relate to other units within the consortium such as the public part of the center and its dome media production and more. We work with authorities such as LFV (www.lfv.se) in major strategic development projects for traffic control. We also have many collaborative projects with companies and contribute with research and advice in visualization and computer graphics. We are also the main hub in the Visual Sweden initiative, which has the task of working with innovation and innovation through collaboration with existing business and public administration, as well as stimulating new entrepreneurship in the area.

Your qualifications
You have completed a master’s / master’s degree in computer science / computer graphics or completed courses of at least 240 higher education credits, of which at least 60 higher education credits at advanced level. You have a passion and interest in interactive visualization and realistic real-time rendering. You should have experience from basic techniques in real-time rendering and concepts such as rendering pipelines with shaders and texturing. You also need to have experience from software development in C ++ and preferably also Python. It is also meritorious to have experience with C ++ programming and Blueprints in Unreal Engine and that you have used it for VR applications.

Formal requirements:

·         Master’s degree, MSc in engineering, or equivalent in media technology, computer
          science, physics, applied mathematics, or equivalent technical education.
·         Can both write and speak fluent English
·         No previous doctoral degree.

Technical qualifications:

Applicants’ suitability for the position will be evaluated according to documented experience and skills in the following categories (qualifying but not required):

·         Computer graphics and real-time rendering
·         Software development, C ++, Python, HSLS / GLSL
·         Unreal Engine
·         VR / AR devices
·         Machine learning
·         Research and scientific publications

Terms of 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 doctoral 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 July 22, 2022.

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

Peter Westerdahl

tf. enhetschef

0703357347

peter.westerdahl@liu.se

Martina Klefbeck

HR partner

011-363166

martina.klefbeck@liu.se

Read the job description at the university homepage

Apply

Post expires on Friday July 22nd, 2022

PhD student in Joint Sensor Fusion and Machine Learning for Autonomous Systems

Linkoping

Ref LiU-2022-02599

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

The department of Electrical Engineering (ISY) is central to the engineering education at the Institute of Technology, one of four faculties at Linköping University, and this regards both basic and applied knowledge. The research is based on industrial needs, and ranges from basic research to direct application in collaboration projects.
Read more at https://liu.se/en/organisation/liu/isy

We are looking for a PhD student in Joint Sensor Fusion and Machine Learning for Autonomous Systems.

Your work assignments
The control-oriented research at Linköping University concerns different topics such as sensor fusion, learning methods for control, and optimization. We are currently looking for PhD students to work within the Wallenberg AI, Autonomous Systems and Software Program (WASP), where they will conduct research on how to combine machine learning methodology with classic statistic signal processing.

Project description: Methods for distributed learning of augmented state-space models will be researched. This class of models enables domain knowledge to be incorporated in the learning process to guarantee a minimum of performance and enable an efficient learning process; still, they are flexible enough to permit learning of partially unknown model dynamics and inputs. Thus, the targeted methods are foreseen to play an important role in realizing large-scale sensing systems. Focus of the research will be on learning of state-space models augmented with sparse Gaussian process models. To enable distributed and efficient learning of the models, techniques for distributed Gaussian process regression, such as Bayesian commit machines and inner product quantization, will be integrated with distributed filter algorithms, such as covariance intersection, consensus, and diffusion Kalman filters. The use of information-gain based active learning strategies to streamline the learning process, both on local and global scale, will be investigated.

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: 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: wasp-sweden.org/graduate-school

As a doctoral 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 workplace
The Division of Automatic Control at Linköping University carries out research, undergraduate and postgraduate education within control, sensor fusion, system identification, autonomous systems, robotics, complex networks, optimization, and learning control. Read more: control.isy.liu.se/en

Your qualifications
You have graduated at Master’s level electrical engineering, engineering physics, or applied mathematics or similar or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses within the same topics. Alternatively, you have gained essentially corresponding knowledge in another way.

Furthermore, you are eager to learn new things and explore the unknown and like to pay attention to details. You can comfortably express yourself in English and know how to convey a message in written text.

Terms of 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 doctoral 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 July 7, 2022.

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

Gustaf Hendeby

Associate professor

+46(0)13 285815

gustaf.hendeby@liu.se

Lina Florvik

HR partner

+46(0)13 281925

lina.florvik@liu.se

Read the job description at the university homepage

Apply

Post expires on Sunday July 10th, 2022