Tag-arkiv: Linkôping University

PhD student in infrainformatics with concentration in Quantitative Logistics Norrkoping

Ref LiU-2019-03059

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

LINKÖPING UNIVERSITY 
Hereby advertises a position as 

PhD student in Infrainformatics with concentration in Quantitative Logistics 
formally based at the Department of Science and Technology, Campus Norrköping.  

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. 

You will be working on design and analysis of algorithms for geometric optimization problems. The topics include but are not limited to motion planning, coverage and packing, network connectivity and other areas. Depending on the student’s skills, the designed algorithms will be either analyzed from the theoretical perspective or implemented in practice and tested on real-world data. 

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

We seek candidates with strong background in one of the following: math (especially discrete math), optimization (especially IP), algorithms (in particular, asymptotic worst-case analysis), programming, software development (especially architecture and customized solutions), probability and statistics. In your application, please specify your experience in the areas. 

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

Application procedure 
Apply for the position by clicking the “Apply” button below. Your application must be received at latest November 15, 2019. 

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

Equal opportunities 
A majority of our PhD students within ITN 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

Valentin Polishchuk

Universitetslektor

+46 (11)-363365

valentin.polishchuk@liu.se

Annelie Westerberg

HR-partner

+4611363450

annelie.westerberg@liu.se

Read the job description at the university homepage

Apply

Post expires on Friday November 15th, 2019

Postdoc in Computer Science, AI and formal verification (WASP) and Security in Critical Infrastructure (RICS) Linkoping

Ref IDA-2019-00094

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) Postdoc positions within Computer Science distributed between AI and formal verification (WASP) and Security in Critical Infrastructure (RICS)
formally based at Dept. of Computer and Information Science

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

The postdoctoral researchers are expected to contribute to our collaborations both nationally and internationally.

AI and Machine Learning project – WASP:
One postdoc position is financed by the national WASP research program aiming to promote AI and machine learning (ML) in autonomous systems. This postdoctoral researcher will contribute to making machine learning systems outcomes explainable so that they can be relied upon in safety-critical contexts e.g. automotive. This project is driven in collaboration with Chalmers and Singapore NanYang Technological University and aims to create symbolic abstractions of training data and classification outcomes of deep learning systems in order to support formal verification of robustness and metamorphic testing of the resulting autonomous systems. This postdoc will collaborate with a PhD student already active within formal verification of ML systems in avionics.

Security in Critical Infrastructures project – RICS:
One postdoc will apply machine learning systems to classification and analysis of network data so that anomalous data flows can be identified and analysed. This research is carried out in the context of the long term national RICS program where security in critical infrastructure is the focus. The work of this postdoc will be carried out in collaboration with existing PhD and Master students as well as through participation in building up the national research testbed for critical infrastructure protection at the Defence Research agency (FOI).

Qualifications
The position requires a doctorate or an equivalent degree from a foreign university. The doctorate shall have been obtained no longer than three years before the expiration date of the application.

Publications in first class journals and highly-competitive conferences in areas relevant to the work, i.e. cyber-physical system safety and security, AI and machine learning, intrusion detection, formal modelling and verification, adversarial ML, attack mitigation and resilience, is considered a merit. Earlier experience in tool development and network analysis within the automotive or industrial control systems area is prioritized.

During the RICS project, meetings with the industrial collaborators will be in Swedish for the most part and working knowledge of Swedish language for collaboration with the stakeholders is beneficial.

Appointment time
A Postdoc is appointed until further notice, but for no longer than two years. The appointment can be renewed if there are special reasons.

Starting date 
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 October 15th, 2019.

Please mark your application letter with the topic of the project (which one of the above two) to make you interest clear.

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

Equal opportunitiesA majority of our postdoctoral associates within the department are men, which is why precedence will be given to women] within 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

Simin Nadjm-Tehrani

Professor

+46 13 282411, +46 702 282412

simin.nadjm-tehrani@liu.se

Anne Moe

Coordinator

anne.moe@liu.se

Read the job description at the university homepage



Apply

Post expires on Tuesday October 15th, 2019

Research Fellow in Machine Learning Linköping & Norrköping

Ref LiU-2019-02844

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!

LINKÖPING UNIVERSITY
Hereby advertises at least one tenure track position as

Research Fellow in Machine Learning

based at the Faculty of Science and Engineering

Description of the subject area
The 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 (see https://wasp-sweden.org). WASP comprises five Swedish full partner universities and a substantial part of Swedish industry and commerce. The WASP initiative includes among many instruments an international recruitment program and the present announcement aims to strengthen Linköping University specifically in the field of machine learning within the AI focus-area of WASP. While not excluding applicants also with other specializations of machine learning the present announcement targets three specific profiles of machine learning:

  • we seek competence in Machine Learning for Visual Perception with focus particularly on mathematics and algorithms for machine learning and pattern recognition relevant to computer vision problems. The developed mathematical tools and algorithms will aim at a better understanding of the processes within deep learning-based vision systems, including handling of uncertain input data, propagation of confidences, detection of anomalies, robustness to polluted training data, enforcement of hard constraints, visualization of relevance, and explorative data acquisition. The goals of the envisaged research are to a) reduce the effort to generate and annotate training data, b) minimize the computational complexity and thus energy consumption and costs of the resulting deep models, and c) move beyond interpolation of training data towards extrapolation and generalization. The research fellow will also explore application areas of this research, e.g., within forestry and agriculture technology.
  • we seek competence in Machine Learning for Causality with the objective of extending the theoretical foundations of causality, developing new methods and algorithms for causal learning and inference, and applying these on real world applications. The research should increase our understanding of causality and its concrete realization in the form of effective methods and efficient algorithms for causal learning and inference. Understanding and leveraging causality is fundamental to human intelligence. Causal reasoning allows us to learn from very few examples and to reason about things we have never seen or that could never exist. It is also fundamental for explaining observations and decisions, which is another major open research challenge in machine learning. The research fellow will explore application areas of this research, e.g., safety critical systems, traffic planning, and health care.
  • we seek competence in Machine Learning and Visualization with focus on the development of approaches to explainability based on visualization of complex networks and training data to gain insight into machine learning foundations and in particular investigation of dependencies on network design, hyperparameter selection and settings, as well as choices of training data. The expected results should generate both novel fundamental understanding of machine learning as well as form the foundation for tools used by developers of applications and even provide the basis for approaches to self-tuning of learning. In particular we are interested in investigating detailed aspects, such as domain shift effects in training data, in the context of strategic applications. The research fellow will apply results in a range of applications spanning from decision support systems and image diagnostics in health care to analysis of use of synthetic data in training of autonomous vehicles.

A successful candidate with the first profile will be affiliated with the Computer Vision Laboratory (CVL) at the Department of Electrical Engineering. A successful candidate with the second profile will be affiliated with the division of Artificial Intelligence and Integrated Computer Systems (AIICS) at the Department of Computer & Information Science, and a successful candidate with the third profile will be affiliated with the Media and Information Technology (MIT) division at the department of Science and Technology. For detailed information about the three divisions see home pages at the Computer Vision Laboratory (CVL), the division of Artificial Intelligence and Integrated Computer Systems (AIICS), the Media and Information Technology division (MIT)

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.

The successful candidate will primarily be engaged in research and PhD mentoring. Assuming a separate decision from WASP the position comes with financing for own salary and expenses for the full duration of the employment, plus salary and expenses for two postdocs (2 years each) and for two PhD students (4 years each). The holder of the position is expected to build a new research group and engage in WASP’s graduate school, WASP national meetings and other activities. The holder of the position is also expected to actively engage in applying for external research funding. The duties include also approximately 20 per cent teaching.

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. The successful candidate is expected to have significant international experience and having established active international research contacts.

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.

The applicant must be fluent in English.

Appointment procedure
The position will be appointed by the Vice-Chancellor of the University on the advice of the Appointments Board. A letter of intent will be required of the applicants who make the short list for the position.

Form of employment
A research fellow may be employed until further notice, for a minimum period of four years and a maximum period of six years, as determined by the institution of higher education before the employment begins. The employment may be renewed, by a maximum period of two years, if, as a consequence of sick absence, parental leave, or other special circumstances of the research fellow, additional time is necessary in order to achieve the purpose of the employment.

The length of employment for this position is 5 years.

A research fellow shall, after application, be promoted to senior lecturer if he/she is qualified for employment as senior lecturer and has been assessed following a test to be suitable for such employment according to the grounds for assessment that the institution of higher education has determined. The grounds for assessment are stated in the Rules of Appointment of Linköping University, p 2.4.2 (LiU-2017-03931).

Starting date
By agreement

Salary
The University applies individual salary scales based on the experience of the employee and the labour market.

Union representatives
To get in contact with union representatives, see below.

Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received no later than November 6, 2019.

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

Please attach your selected research publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar at Linköping University, University Registrar, S-581 83 Linköping, Sweden. The publications must be received by Linköping University no later than the deadline for application.

In the event of a discrepancy between the English translation of the job announcement and the Swedish original, the Swedish version shall take precedent.

Equal OpportunitiesA majority of research fellows within the present departments 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

Ulf Nilsson

Dean

ulf.nilsson@liu.se

Michael Felsberg

Professor (CVL)

+46 13 28 24 60

michael.felsberg@liu.se

Fredrik Heintz

Associate professor (AIICS)

+46 13 28 24 28

fredrik.heintz@liu.se

Anders Ynnerman

Professor (MIT)

+46 11 36 33 09

anders.ynnerman@liu.se

Christina Hammarstedt

Coordinator of the Appointments Board

+46 13 28 15 28

christina.hammarstedt@liu.se

Read the job description at the university homepage

Apply

Post expires on Wednesday November 6th, 2019

PhD student to a doctoral degree on the subject of Defects in Wide-Bandgap Semiconductors for Quantum Technologies, in the scientific field Materials Physics, Linkoping

Ref IFM-2019-00454

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 Physics, Chemistry and Biology conducts research and offers education at undergraduate and postgraduate levels. Research, the predominant activity, is often done in collaboration with corporate and international partners. We are one of the university’s largest, oldest and most well known departments, encompassing five interacting scientific fields: biology, chemistry, material physics, applied physics and theory and modelling.
Read more at https://liu.se/en/organisation/liu/ifm

LINKÖPING UNIVERSITY
Hereby advertises a position as

PhD student to a doctoral degree on the subject of Defects in Wide-Bandgap Semiconductors for Quantum Technologies, in the scientific field Materials Physics,
formally based at the Department of Physics, Chemistry and Biology (IFM).

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.

You will be involved in a team work on point defects in wide band gap semiconductors (primarily silicon carbide, SiC, and gallium nitride, GaN) which exhibit properties suitable for their utilization in quantum technology. Optical and spin properties of various point defects will be investigated also on a single-defect level using advanced optical and magnetic resonance characterization techniques. Our group has also large experience on optical and electron-paramagnetic-resonance characterization of defects in SiC, GaN and other semiconductors. The project is financed by a grant from the Knut and Alice Wallenberg (KAW) foundation, one of the largest sponsors of science in Sweden.

You will participate also in the building of a pulsed-ODMR (optically detected magnetic resonance) setup for characterization and manipulation of single spins associated with point defects in SiC and other semiconductors. The ODMR technique combines optical spectroscopy (photoluminescence excited by an external laser) with electron paramagnetic resonance measurement when the sample is subjected to magnetic field.

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

A suitable background is Master of Science or Master’s Degree with specialization in physics, chemistry or materials engineering. Computer skills, and especially programming skills are advantageous.

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. Your application must be received at latest October 6, 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

Ivan G. Ivanov

Associate professor

+46 13 282532

ivan.gueorguiev.ivanov@liu.se

Read the job description at the university homepage

Apply

Post expires on Sunday October 6th, 2019