Örebro: Exportkontrollsamordnare, tre lärosäten – en tjänst

The School of Science and Technology is seeking a postdoctoral researcher in Computer Science for a fixed-term appointment.

Subject area
The subject area for this position is Computer Science.

Background
The post-doc will be affiliated with the research Centre for Applied Autonomous Sensor Systems (AASS, http://www.oru.se/aass), which carries out multi-disciplinary research at the intersection of robotics, machine learning, artificial intelligence, computer vision, and computer science.

The project looks at how investigates how robots and autonomous systems can learn adaptively to successfully operate in changing environments. Real-world environments are constantly changing, and for a robot or autonomous system to operate successfully without human intervention or catastrophic failure, it must have both the capacity to recognise change and the flexibility to adapt its beliefs and behaviours. The goal of this project is to develop robust systems by which a robot can evaluate both its own models of the world, and the current environmental conditions, to provide confident predictive models.

The project is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest ever individual research program, and a major national initiative for strategically basic research, education and faculty recruitment. 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 about the research and other activities conducted within WASP please visit: http://wasp-sweden.org/.

Örebro University is a modern and prominent broad-based university with the courage to review and the ability to evolve. Our professional degree programmes are among the best in the country and we endeavour to be an attractive place of work where members of staff feel a sense of pride and satisfaction. 1,500 employees and 17,000 students come to work and study at Örebro University.

Duties and responsibilities
The candidate shall be engaged in research on learning and reasoning in AI and applications in autonomous sensor systems. The candidate is expected to have a proven track record in AI and Computer Science, in particular in topics relevant to the research projects stated above. We seek a postdoctoral researcher with a solid theoretical background and an interest in applying learning and reasoning in the context of autonomous sensor systems.

The position provides the opportunity to work on exciting and practically relevant problems in the context of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest ever individual research program.

Qualifications
Eligible for the appointment as postdoctoral researcher are applicants holding a doctoral degree in Computer Science or in related subject areas. The doctoral degree should have been awarded no more than three years prior to the application deadline. Candidates who have obtained their doctoral degree prior to that may however also be considered if special grounds exist (leave of absence due to illness, parental leave, clinical duties, an elected position in a trade union, or other similar circumstances). The position is for a term of 2 years initially but may be extended for a further 1 year.

Assessment criteria
General assessment criteria include good interpersonal skills and an ability to cooperate as well as the ability and suitability otherwise required to perform the duties well. Particular importance shall be attached to the qualities enabling the candidate to contribute to the future development of research. A demonstrated ability and desire to pursue an academic career is also of importance.

The assessment of the candidates is based on previous research and publication records and the suitability to the topics outlined above.

Good communication skills in English, both written and spoken, is a requirement.

Information
This is a full-time position for a fixed-term of two (or three) years. The salary depends on the successful candidate’s qualifications and experience.

For more information, please contact Assistant Professor Stephanie Lowry (stephanie.lowry@oru.se) or Professor Lars Karlsson, +46 19 303355, (lars.Karlsson@oru.se).

Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.

Application
The application is made online. Click the button “Apply” to begin the application procedure.

For the application to be complete, the following electronic documents must be included:


• A covering letter, outlining how you believe you can contribute to the continued development of Örebro University
• CV with a relevant description of your overall qualifications and experience
• An account of research qualifications
• Copies of relevant course/degree certificates and references verifying eligibility and criteria met
• Scientific publications for consideration (maximum of 10 and in full-text format, not only publication list)

Only documents written in Swedish, English, Norwegian or Danish can be reviewed.

The application deadline is 2024-05-20. We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

As directed by the National Archives of Sweden (Riksarkivet), Örebro University is required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

The School of Science and Technology is seeking a postdoctoral researcher in Computer Science and Artificial Intelligence for a fixed-term appointment.

Subject area
The subject area for this position is Computer Science.

Background
The post-doc will be affiliated with the research Centre for Applied Autonomous Sensor Systems (AASS, http://www.oru.se/aass), which carries out multi-disciplinary research at the intersection of robotics, machine learning, artificial intelligence, computer vision, and computer science.

The project looks at how investigates how robots and autonomous systems can learn adaptively to successfully operate in changing environments. Real-world environments are constantly changing, and for a robot or autonomous system to operate successfully without human intervention or catastrophic failure, it must have both the capacity to recognise change and the flexibility to adapt its beliefs and behaviours. The goal of this project is to develop robust systems by which a robot can evaluate both its own models of the world, and the current environmental conditions, to provide confident predictive models.

The project investigates interpretable machine learning for vision-based applications. While machine learning is a powerful tool for the solution of complex problems, there is a growing focus on developing techniques that are interpretable and explainable, rather than relying on black-box models. Furthermore, there is widespread interest in learning algorithms that can discover or validate scientific hypotheses. In this project, the goal is to develop novel interpretability-based machine learning techniques for computer vision that not only predict decision outcomes from input data, but also can assist in relating the algorithmic output to the underlying properties of the systems under investigation.

The project is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest ever individual research program, and a major national initiative for strategically basic research, education and faculty recruitment. 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 about the research and other activities conducted within WASP please visit: http://wasp-sweden.org/.

Örebro University is a modern and prominent broad-based university with the courage to review and the ability to evolve. Our professional degree programmes are among the best in the country and we endeavour to be an attractive place of work where members of staff feel a sense of pride and satisfaction. 1,500 employees and 17,000 students come to work and study at Örebro University.

Duties and responsibilities
The candidate shall be engaged in research on learning and reasoning in AI and applications in autonomous sensor systems. The candidate is expected to have a proven track record in AI and Computer Science, in particular in topics relevant to the research projects stated above. We seek a postdoctoral researcher with a solid theoretical background and an interest in applying learning and reasoning in the context of autonomous sensor systems.

The position provides the opportunity to work on exciting and practically relevant problems in the context of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest ever individual research program.

Qualifications
Eligible for the appointment as postdoctoral researcher are applicants holding a doctoral degree in Computer Science or in related subject areas. The doctoral degree should have been awarded no more than three years prior to the application deadline. Candidates who have obtained their doctoral degree prior to that may however also be considered if special grounds exist (leave of absence due to illness, parental leave, clinical duties, an elected position in a trade union, or other similar circumstances). The position is for a term of 2 years initially but may be extended for a further 1 year.

Assessment criteria
General assessment criteria include good interpersonal skills and an ability to cooperate as well as the ability and suitability otherwise required to perform the duties well. Particular importance shall be attached to the qualities enabling the candidate to contribute to the future development of research. A demonstrated ability and desire to pursue an academic career is also of importance.

The assessment of the candidates is based on previous research and publication records and the suitability to the topics outlined above.

Good communication skills in English, both written and spoken, is a requirement.

Information
This is a full-time position for a fixed-term of two (or three) years. The salary depends on the successful candidate’s qualifications and experience.

For more information, please contact Assistant Professor Stephanie Lowry (stephanie.lowry@oru.se) or Professor Lars Karlsson, +46 19 303355, (lars.Karlsson@oru.se).

Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.

Application
The application is made online. Click the button “Apply” to begin the application procedure.

For the application to be complete, the following electronic documents must be included:


• A covering letter, outlining how you believe you can contribute to the continued development of Örebro University
• CV with a relevant description of your overall qualifications and experience
• An account of research qualifications
• Copies of relevant course/degree certificates and references verifying eligibility and criteria met
• Scientific publications for consideration (maximum of 10) (Not only publication list.)

Only documents written in Swedish, English, Norwegian or Danish can be reviewed.

The application deadline is 2024-05-20. We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

As directed by the National Archives of Sweden (Riksarkivet), Örebro University is required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

Är du driven, engagerad, vill vara med och skapa förbättring med modern teknologi och samtidigt utvecklas i en spännande miljö? Bra! Då kan detta vara din nästa utmaning!

Bakgrund
Avdelningen för digitalisering och IT är universitetets stöd i IT-frågor och arbetar för att vi ska ha en modern och kostnadseffektiv IT-miljö. Med IT-miljö avses dels arbetsplats för personal och studenter, teknisk infrastruktur, dels effektivt IT-stöd till utbildning och forskning. Avdelningen för digitalisering och IT ansvarar för både operativ och administrativ IT och ger support till samtliga anställda vid universitetet samt i viss mån till studenter. Avdelningen består av ca 45 medarbetare fördelade inom enheterna IT-service, Drift Infrastruktur och Systemutveckling samt Digital styrning och utveckling. Denna tjänst är placerad inom enheten Drift Infrastruktur och Systemutveckling.

Örebro universitet skapar framtiden genom internationell konkurrenskraftig forskning och erbjuder professionsinriktade utbildningar som tillhör landets bästa. Vi erbjuder ett omväxlande och intressant uppdrag i en internationell och spännande miljö! IT är ett viktigt stöd och förutsättning för att universitetet ska kunna nå sina mål som ett ledande universitet.

Just nu pågår inom IT-avdelningen ett antal projekt inom bland annat IAM, enhetshantering, datacenter och vår nätverksarkitektur.

Arbetsuppgifter
Vi söker en erfaren klientspecialist som kommer ansvara för drift och underhåll av Windows-baserade system och applikationer.

I rollen kommer du vara en nyckelperson för att bidra till ökad kvalité för våra slutanvändare, genom att optimera vår infrastruktur för klienthantering.

Arbetet är i hög grad serviceinriktat, merparten av arbetet sker i nära samverkan med kollegor och användare.

Kvalifikationer
Vi söker dig som har god kunskap och erfarenhet av:


• att arbeta med Windows-operativsystem, inklusive installation, konfiguration och felsökning
• Windows OS deployment och paketering samt distribution av applikationer med hjälp av SCCM och Intune samt policy-hantering
• att konfigurera och hantera Windows Autopilot för att effektivisera och automatisera distributionen av Windows-enheter
• virtualisering med Vmware Horizon eller Hyper-V på en avancerad nivå
• hantering av Group Policies och AD
• säkerhetsfunktioner i Windows
• Powershell

Goda kunskaper i svenska och engelska är ett krav.

Meriterande om du har erfarenhet av:


• administration i MS365
• administration av licensservrar
• App Volumes och DEM (Dynamic Environment Manager) i Vmware
• administration i Vmware vCenter

Som person motiveras du av att arbeta i grupp och kommer särskilt till din rätt när du får utmana med nya tankar och idéer. Du har en förmåga att förstå och omsätta krav/behov som du utvecklar till genomförbara lösningar. Du motiveras av att jobba i tekniska implementationsprojekt samt gillar att arbeta strukturerat och god förmåga att självständigt planera din arbetsdag.

Vi söker dig som vill vidareutvecklas och drivs av nya utmaningar. Du är ambitiös, strukturerad, ansvarstagande, kvalitetsmedveten och en öppen samt lyhörd person som har förmågan att kommunicera kring problem och lösningar. Det är viktigt att du har ett lösningsfokuserat helhetsperspektiv på den verksamhet vi bedriver. Stor vikt läggs vid dina personliga egenskaper.

Information
Anställningen är 100 %, tillsvidare med tillträdesdag enligt överenskommelse. Örebro universitet tillämpar individuell lönesättning och i förekommande fall provanställning.

Närmare upplysningar om anställningen lämnas av enhetschef Jonas Ljudén 019-30 30 60, e-post: jonas.ljuden@oru.se.

Vid Örebro universitet förväntar vi oss att alla medarbetare är öppna för utveckling och förändring, tar ansvar för sin egen arbetsinsats och kvalitet, visar engagemang att samverka och bidra till utveckling samt visar respekt för andra genom ett konstruktivt och professionellt förhållningssätt.

Örebro universitet arbetar aktivt med lika villkor och jämställdhet och för att vår arbetsmiljö ska präglas av öppenhet, tillit och respekt. Vi värdesätter de kvaliteter mångfald tillför verksamheten.

Ansökan
Du gör din ansökan på vår hemsida genom att klicka på knappen "Ansök".

En komplett ansökan ska innehålla följande elektroniska dokument:


• Ett personligt brev med motivering till ditt intresse av anställning som Systemtekniker Windows Klientspecialist
• CV med relevant beskrivning av samlad kompetens
• Kopior av relevanta betyg/intyg som styrker din kompetens

Sista ansökningsdag är 2024-05-06. Välkommen med din ansökan!

Då vi i samband med den här rekryteringen redan har gjort våra val vad gäller externa samarbetspartners och marknadsföring undanber vi oss kontakt med rekryteringsföretag och annonssäljare.

Enligt Riksarkivets föreskrifter måste vi arkivera en omgång ansökningshandlingar exkl. publikationer i två år efter att tillsättningsbeslutet vunnit laga kraft.