Open positions at NORA partner institutions

Here you can find currently open research positions at NORA partner institutions:

 

UiB: Researcher within machine learning

At the Department of Informatics there is a vacancy for a position as a researcher within Machine Learning. The position is affiliated to externally financed projects. The first 3 years the position is financed by the Research Council of Norway, associated with the project “Retail Fresh”.

An estimated 931 million tons of food were wasted in 2019 globally. Fresh produce (bread, fruit and vegetable, meat, fish, and deli) amount to a significant portion of this food waste. Retailers must take large variations in demand, uncertainty in inventory, and varying shelf lives into account when ordering fresh produce. This makes it difficult to reduce waste.

In this project, we aim to minimize wastage of fresh goods while sustaining retailer’s sales. We also aim to improve inventory management of fresh produce as part of this process. These goals will be achieved by using state-of-the-art machine learning methods.

For more information about the position, click here

Application deadline: 30 November 2022


Simula: Call for Data Engineer and Software Developer at Simula Consulting

Simula Consulting, a daughter company of Simula Research Laboratory, delivers high-quality ICT consulting services to public and private organisations on a commercial basis. The mission of the company is to redefine what’s possible through digitalisation, bridging the gap between academic discoveries and real-world applications.

As a new member, you will be involved in exciting and challenging projects in different domains ranging from smart cities to aquaculture and medtech. You will be involved in end-to-end technology development: from problem formulation and ideas to a robust and efficient technology development. You will be exposed to an agile way of working, incl. usage of scrum / kanban methodology, DevOps / MLOps, etc.

For more information about the position, click here

Application deadline: 01 December 2022


Simula: Call for PhD student for Collective-Adaptive Testing of Coevolving Autonomous Cyber-Physical Systems

The position is funded by the Research Council of Norway under the FRIPO Co-tester project. Cyber-Physical Systems of Systems (CPSoS) exhibit unpredictable behaviours due to their coevolution, employed machine learning techniques, collective behaviours, and operation in uncertain environments and unreliable communication networks. Consequently, testing these systems is extremely challenging. The Co-tester project aims to addresses this challenge by developing novel collective-adaptive testing strategies. These strategies will be empowered with advanced artificial intelligence technologies (e.g., machine learning and evolutionary computation techniques), supported with novel strategies for discovering uncertain and unknown behaviours of CPSoS, its constituted Cyber-Physical Systems, operating environment, and networks for extensive testing of CPSoS.

For more information about the position, click here

Application deadline: 01 December 2022


PhD in Marketing

The programme focuses on developing the doctoral candidates' theoretical knowledge and methodological skills required to become successful marketing researchers. The department seeks candidates with a strong background in disciplines that are fundamental to marketing such as economics, psychology and statistics; candidates are intellectually curious, interested in an academic career in research and teaching, and possess strong communication and analytical skills. It is expected that graduates of the programme will be placed at leading research institutions. Previous placements include Cass Business School, Grenoble Ecole de Management, Nanyang University, University of Groningen, Free University Amsterdam, and ESCP London.

For more information about the position, click here

Application deadline: 01 December 2022


Research Scientist Position at the Data Science and Knowledge Discovery Department - Simula Metropolitan Center for Digital Engineering, Oslo, Norway

Data Science and Knowledge Discovery Department (DataSci) at SimulaMet (Oslo, Norway) has an opening for a researcher in data mining/machine learning. DataSci aims to advance the frontiers of machine learning and data mining by developing novel methods to analyze complex data sets and reveal underlying patterns. In doing so, we enhance knowledge discovery in real-world applications in a range of fields. This research scientist position will involve interactions with multidisciplinary groups consisting of applied mathematicians, computer scientists, engineers, statisticians, biologists, chemists, and clinical researchers. Candidates are expected to have an interest in fundamental methodological developments as well as impactful applications. For the current ongoing projects at the department, please see DataSci webpage.

For more information about the position, click here

Application deadline: Open


Simula: Senior Research Scientist / Research Scientist in Data Science

Simula Research Laboratory AS (Simula) will be hiring a permanent senior research scientist / research scientist to help build up our capacity in applying machine learning / data science to problems in social science. The successful candidate will be employed at Simula, and will be expected to help strengthen our new collaboration with BI Norwegian Business School (BI) which is organized through the research center Simula@BI. The position is a full time research position with the possibility for teaching if the successful candidate is interested.

For more information about the position, click here.

Application deadline: Open 


OsloMet: Ph.D. fellowship position in Bio-Inspired Artificial Intelligence

This position will focus on some of the main tasks of the EvoDevo2Learn project. Natural selection operates at the level of genetic and epigenetic factors to select the set of genes. These genes, when expressed in the right sequence over the lifetime (development), will give rise to the growing structure (the brain, body) that has the potential to behave and learn with or without supervision. Moreover, and perhaps more strikingly, living organisms reliably learn during brain development; that is, when the structure of the network is changing drastically. Visual-spatial understanding of the world, spatiotemporal causality inference and sense of agency that underpins common sense, motor control, and even language are examples of competencies acquired during brain growth. Yet, how associative learning can emerge from the combination of evolutive and developmental mechanisms remains elusive. This project will use a novel approach to design and train biologically plausible networks of artificial neurons that combine evolution, development, and experience of embodied agents to overcome one or more of these grand challenges in AI. These agents will be trained in progressively more complex environments, which will be modeled after classical psychological, neuroscience and reinforcement learning experiments.

For more information about the position, click here

Application deadline: 15 December, 2022

Publisert 11. jan. 2021 02:09 - Sist endret 28. nov. 2022 12:32