Tag-arkiv: Linkôping University

Research fellow in Computer Vision with focus on geometry

Research fellow in Computer Vision with focus on geometry Linkoping

Ref LiU-2019-01638

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

LINKÖPING UNIVERSITY
hereby advertises a position as

Research fellow in Computer Vision with focus on geometry

formally based at the Department of Electrical Engineering

Description of the subject area
The Computer Vision Laboratory is a vibrant research environment with four faculty members, two postdocs, 12 PhD students, and several affiliated researchers. The division has been identified as outstanding Swedish research environment within AI in Vinnova’s latest report. The division focuses on research and teaching in the area of computer vision, in particular learning and modeling of machine perception. The CVL team has published methods for deep convolutional networks and efficient online learning as well as efficient methods for geometrical problems at major computer vision conferences such as CVPR, ECCV, and ICCV in the recent past. CVL researchers are particularly known for their work on visual object tracking, signal processing approaches to vision, feature representations, and rolling shutter methods. For further details, see http://www.cvl.isy.liu.se.

Duties
A research fellow’s duties may comprise educational responsibilities or research, and administrative tasks. Teachers are also responsible for monitoring developments within their subject areas and developments in the wider community that are significant to their role as a teacher at a higher education institution. The holder of the appointment will participate in teaching at undergraduate and advanced levels.

As a research fellow, you are expected to conduct your own research in computer vision, in particular regarding mathematics and algorithms for 3D computer vision, as well as teach computer vision courses within this sub-area. You are also expected to be active in enabling exploitation of research results, e.g., within digital forensics, and to contribute to ISY’s PhD education in the area.

For this position, the language of instruction will be Swedish and English.

Employment as a research fellow
The purpose of the employment as a research fellow is to give the teacher the opportunity to develop independence as a researcher and to obtain both the scientific and teaching qualifications required for employment as senior lecturer.

Qualifications
An applicant who has received a Degree of Doctor or has the equivalent academic expertise shall be qualified for this appointment.

Priority shall be given to a person who has been awarded a doctoral degree or achieved equivalent academic expertise no more than five years before the deadline for applications for employment as research fellow. A person who has been awarded a doctoral degree or has achieved equivalent expertise at a previous date may, however, be considered in special circumstances. Special circumstances is here used to describe: sick leave, parental leave, and other similar circumstances.

Grounds for assessment
As grounds for assessment when appointing a research fellow, the level of proficiency required to qualify for the appointment shall apply.

As much attention shall be given to the assessment of teaching proficiency as to other conditions of eligibility.

For this position special weight is given to scholarly proficiency, followed by teaching proficiency, in turn followed by remaining proficiencies which should be considered equally.

Scholarly proficiency must have been demonstrated through: original research resulting in publication, through planning and managing research and third-cycle courses and study programmes and through the ability to obtain research grants Scholarly proficiency can also be demonstrated through the ability to achieve results in research through collaboration with other teachers and through the ability to provide information about research.

Teaching proficiency is demonstrated through the ability to convey relevant knowledge and skills, to stimulate students such that they drive their own learning process, to create engagement and interest in the subject area, and the ability to structure and organise both the content and forms of work in relation to the goals of the subject area. In addition, the teaching proficiency must have been demonstrated through the ability to contribute to the development and renewal of education and the ability to reflect on their own attitude to education and the results of their work.

Collaboration with society is an integral part of the research and educational mission of the higher education institution, where the ability to use collaboration with society as a means to raise the quality of the education and research, its relevance, dissemination, accessibility and application may constitute grounds for assessment.

Collaboration within research is demonstrated by the ability to disseminate, make accessible and benefit from research through the production and dissemination of popular scientific material, collaborative projects with external non-academic actors, commissioned consulting as expert, mobility projects, commercialisation, and activities undertaken within the framework of permitted secondary employment.

It is desirable that the successful candidate with another mother tongue than Swedish should be able to teach in Swedish within two years from being appointed.

Appointment procedure
The appointment is appointed by the Vice-Chancellor following a proposal from the Technical Faculty’s Appointment Board. A letter of intent will be requested from the applicants who are primarily considered to be eligible for the employment.

Form of employment
An assistant lecturer may be hired for a longer period, however at the most for a period of at least four and a maximum of six years as determined by the university prior to the employment. An employment may be renewed, however, no more than a total of two years, if, due to the assistant lecturer’s sick leave, parental leave or other special reasons, additional time is required to achieve the purpose of the employment.

For this employment, a period of employment of six years applies.

An associate senior lecturer shall, upon application, be promoted to a senior lecturer if he / she is eligible for a position as an associate professor and, in the case of an examination, is deemed suitable for such an employment according to the assessment grounds determined by the university. The assessment grounds are stated in the University’s employment order, p 2.4.2 (LiU-2017-03931).

Starting date
By agreement.

Salary
The university applies individual salaries.

Union representatives
For contact with union representatives see below.

Application process
You apply for this employment by clicking on the “Apply” button below. Your complete application, including the maximum of ten publications you wish to rely on, must be received by Linköping University no later than July 8. Applications and/or application documents that arrive after the last application date are not considered.

Publications, pdf or word format are allowed, attached to the application form. The scientific publications that you do not have in digital form are sent by mail in three copies to Linköping University, Registrar, 581 83 Linköping. The publications must be received by Linköping University no later than the deadline for applications.

Equal opportunities
A majority of our Research fellows within the Department of Electrical Engineering are men, which is why precedence will be given to women in cases where qualifications are deemed otherwise equivalent.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

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 from vendors of job advertisements.

Contact person

Michael Felsberg

Professor, Head of Division

+46 13 282460

michael.felsberg@liu.se

Christina Hammarstedt

Secretary of the Appointment Board

+46 13 281528

christina.hammarstedt@liu.se

Lina Florvik

HR partner

+46 13 281925

lina.florvik@liu.se

Read the job description at the university homepage

Apply

Post expires on Monday July 8th, 2019

Research Assistant in Medical science orientation Pharmacology Linkoping


Ref LiU-2019-01247

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 Medical and Health Sciences conducts teaching and research across a wide range of medical disciplines and is noted for its interdisciplinary profile. The aim of the department’s operations is to provide relevant training against the backdrop of a rapidly evolving healthcare sector and a society in constant flux.
Read more at https://liu.se/en/organisation/liu/imh

LINKÖPING UNIVERSITY
Hereby advertises a position as
Research Assistant in Medical science orientation Pharmacology
formally based at the Department of Medical and Health Science

Duties
The Research Assistant will primarily work in a project on the impact of chromatin mobility in DNA damage response. Double Strand Breaks (DSBs) arising in the genome show higher mobility compared to undamaged chromatin. The Research Assistant will investigate the influence of different chromatin remodeling factors over chromatin mobility and DNA damage repair. The research will be primarily of experimental character, including cell culture, genetic manipulation, metaphases spreads analysis, and live-cell imaging.  The activities include literature review and lab working.

Future workplace
You will work at the Division of Drug Research (LÄFO) at the Department of Medicine and Health. The division conducts research in the field of pharmacology, both in preclinical and clinical areas. The current research team works in the field of DNA repair.

Qualifications
The position requires a Master’s degree in relevant research areas such Biological science, Biotechnology, or related subjects, or an equivalent degree from a foreign university. Interest in DNA damage response is mandatory. The applicant should be highly motivated and creative, able to work both individually and together with other researchers. Excellent communication skills and good knowledge of English are essential. Great emphasis will be placed on personal qualities and suitability, as taking initiative in a creativity way and co-operation because we are a tight research group working together.

Appointment time
A Research Assistant is appointed for six months.

Starting date 
By 2019, June, 1st or by agreement.

Salary
The University applies individual salary scales adapted to the experience of the employee and to the labour market.

Union representatives
For contact with union representatives see below.

Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received at latest April 30 2019.

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

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

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 from vendors of job advertisements.

Contact person

Francisca Lottersberger

Universitetslektor

+46 13 28 68 81

francisca.lottersberger@liu.se

Read the job description at the university homepage

Apply

Post expires on Tuesday April 30th, 2019

PhD student position in Statistics or Computer Science Linkoping


Ref IDA-2019-00026

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 Computer and Information Science was founded in 1983 but its roots go back to the early 1970s. It is one of the largest computer science departments in northern Europe.

Our research covers a broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming.
Read more at https://liu.se/en/organisation/liu/ida

LINKÖPING UNIVERSITY
Hereby advertises up to two (2) positions as

PhD student in Statistics or Computer Science
formally based the Division of Statistics and Machine Learning at the Department of Computer and Information Science.

Duties
The research projects for the advertised positions will be in the area of statistical machine learning. This involves both fundamental research on the development of new machine learning models and computational algorithms, as well as applied research to demonstrate the usefulness of the new methodologies. Additional information about the division and suggestions for research projects can be found at: PhD_April2019.pdf

As a PhD student you will primarily devote yourself to your research studies. As a PhD student you are limited to work with teaching, research and administration up to 20 percent of full time.

Qualifications
A candidate should have a Master of Science or equivalent degree in a field that is relevant to the topic of the research project, or expect to obtain such a degree before the start date of the position. A candidate should also have good communication skills, excellent study results, and sufficient proficiency in oral and written English. A strong background in mathematics as well as programming skills are particularly valued. The project involves both theoretical and applied work.

Qualified to PhD studentships are only those who are or have been admitted to graduate studies.

Appointment time
The appointment will be until further notice for a maximum of one year at a time. A doctoral student may not be employed during a period exceeding eight years. The total time of appointment must not exceed the equivalent of four years´ full time research training.

Starting date 
By agreement.

Salary
The salary for PhD students is based on the department’s salary scale.

Union representatives
For contact with union representatives see below.

Application procedure
Apply for the position by clicking the “Apply” button below.

Please note! Question 5: Research plan: Enclose a research plan/letter of intent (maximum one page), or a reflection regarding the suggestions for research project as described in the announcement (see  PhD_April2019.pdf).

Your application must be received at latest April 23rd, 2019.

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

Equal opportunitiesA majority of our PhD students within the department are menwhich is why precedence will be given to women, in cases where qualifications are deemed otherwise equivalent.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

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 from vendors of job advertisements.

Contact person

Fredrik Lindsten

Associate professor

+46 734 20 16 00

fredrik.lindsten@liu.se

Mattias Villani

Professor

+46 13 28 14 46

mattias.villani@liu.se

Anne Moe

Coordinator Graduate Studies Administration

anne.moe@liu.se

Read the job description at the university homepage

ApplyBack

Post expires on Monday April 29th, 2019

PhD student in infra informatics Norrköping with special focus on Quantitative Logistics

Norrkoping

Ref LiU-2018-03968ShareShare

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 due 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

LINKÖPING UNIVERSITY
Hereby advertises a position as

PhD student in infra informatics Norrköping with special focus on Quantitative Logistics
formally based at the Department of Science and Technology, Campus Norrköping.

Research area
In the area of Quantitative Logistics, a system analysis perspective and an engineering based methodology is used to analyze, plan, model and simulate logistic problems and other resource management problems in the industry and the society. The research area includes city logistics, air traffic and transportation planning and management, and emergency response and health care logistics. Research often includes cooperation with other research areas within the division Communications and transport systems. This division also includes the units Traffic Systems, Constructions logistics, Mobile telecommunication and Construction engineering.

Duties
As a PhD student you will primarily devote yourself to your research. As a PhD student you are limited to work with education and administration up to 20 percent of full time.

Your research will be conducted within the research project NEtworK Optimization for CarSharing Integration into a Multimodal TRANSportation System (EkoCS-Trans). The overall goal of this project is to support Swedish industry in providing CS solutions that attract a wide customer base (and, hence, lead to a reduced energy consumption), and to enable Swedish authorities to account for growing CS in their strategic urban transport planning. The approach is quantitative and makes strong use of simulation and optimization techniques.

On the simulation side, you will be responsible for integrating a representation of shared vehicles into an existing multi-agent transport simulation for Stockholm. On the optimization side, you will be responsible for solving problems that are mainly related to the planning of car sharing systems, using for example mathematical optimization or geometric algorithms. You will also contribute to the integration of both aspects of your research into a simulation-based optimization approach for the planning of car sharing systems.

Qualifications
Qualified to PhD studentships are only those who are or have been admitted to graduate studies.

  • For this position you must have following requirements:
  • Programming skills in Java or strong programming skills in some other object-oriented language
  • Strong quantitative skills/theoretical/mathematical background, e.g. through a degree in computer science, mathematics, physics, engineering (or willingness to learn)
  • Interest in applying quantitative and computational techniques to real transportation problems
  • Good command of spoken and written English

Desirable skills and traits:

  • Transportation related background (e.g. a degree in (intelligent) transportation systems or the like
  • Knowledge of algorithm design or mathematical optimization
  • Interest in interdisciplinary cooperation
  • Communication and team skills
  • Creativity

Appointment time
The appointment will be until further notice for a maximum of one year at a time. A doctoral student may not be employed during a period exceeding eight years. The total time of appointment must not exceed the equivalent of four years full time research training.

Starting date 
March 1, 2019 or by agreement

Salary
The salary for PhD students is based on the department’s salary scale.

Union representatives
For contact with union representatives see below.

Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received at latest February 7, 2019.

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

Equal opportunitiesA majority of our Phd positions within the department are men, which is why precedence will be given to women in cases where qualifications are deemed otherwise equivalent.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

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 from vendors of job advertisements.

Contact person

Christiane Schmidt

Biträdande universitetslektor

+46 11 363212

christiane.schmidt@liu.se

Magnus Glänneskog

The head of the administration

+46 11363081

magnus.glanneskog@liu.se

Read the job description at the university homepage

Apply

Post expires on Thursday February 7th, 2019