lunduniversity.lu.se

Computer Science

Faculty of Engineering, LTH

Open Positions at Computer Science

The Department of Computer Science conducts research in close collaboration with industry partners and universities throughout the world. We recruit researchers and doctoral students in an international labor market. On these pages we inform about the open positions that are currently advertised.

Postdoctoral Researcher in Software Technology

We are looking for a two-year postdoctoral researcher in the area of software technology, especially program analysis and declarative domain-specific languages, with an interest in supporting an active industry/academia exchange via the WASP Research Arena for Software. Candidates are welcome to propose their own research directions, as long as they connect and enhance our ongoing research.

Read more and apply no later than 26 April

Doctoral student in Computer Science with specialisation in Computer Graphics

Project description
This project aims to develop new algorithms that create realistic 3D graphics for Augmented and Virtual Reality or Cross Reality (XR). While modern graphics hardware is capable of generating impressive images at real-time, it is still challenging to meet the billions of pixels needed for XR within the portable, low-power requirements of modern XR. We will focus on real-time rendering using GPUs with realistic, physically-based rendering, such as ray and path tracing, to synthesize images. This project will investigate the use of upscaling to meet the high spatial and temporal requirements of the human visual system, by incorporating Deep Learning techniques.

The doctoral student position is part of the research project “Real-Time Realistic Pixel Synthesis using Deep Learning for Augmented and Virtual Reality”, which also includes a parallel PhD project on developing novel methods to synthesize high-detail models and textures from photogrammetry or low-resolution data.

It is funded by ELLIIT, a strategic research environment funded by the Swedish government. ELLIIT constitutes a platform for research and for cross-fertilization between disciplines and between academic researchers and industry experts. ELLIIT stands out by the quality and visibility of its publications, and its ability to attract and retain top talented researchers, and aims at being recognized as a top international research organization. Research will be conducted with the Lund University Graphics Group where we frequently cooperate with the Nvidia Graphics Research group in Lund.

Read more and apply no later than 15 April at lu.varbi.com

Doctoral student in Computer Science with specialization in Reliable Computer Vision for Autonomous Systems

The goal of the project is to improve the reliability of the camera-based perception of autonomous robots to improve the overall reliability of robotic systems. In most autonomous robot applications, robots assume that cameras are working as expected, and, indeed, deep-learning based approaches have reached impressive performance and robustness. However, robots are not able to identify when the perception pipeline fails which can result into dangerous robot behaviors. The goal of this project is to extend perception pipelines with an explainable metric of uncertainty, i.e., how much trust the robot can actually put into data from the perception pipeline. We will be working with RGBD-cameras and LiDAR.

The research is performed within the ELLIIT project `` Situation Aware Perception for Safe Autonomous Robotics Systems’’, in collaboration with Linköping University and the German Aerospace Center (DLR). The project contains both theory development and implementation of  computer vision-based perception processes. The perception pipelines will be tested on actual robots.

If you are

  • seriously interested in computer vision and autonomous robots,
  • eager and have drive to get things to work for real
  • Very good analytical skills
  • a good team player

then this position could be for you.

Read more an apply no later than 15 April at lu.varbi.com

Doctoral student in Computer Science with focus on Computer Architecture

The position is part of an externally funded national-level research project together with research groups from two other universities in Sweden. The project investigates novel techniques in computer architecture, runtime systems, compilers and high-level programming interfaces with the objective to generalize today’s AI accelerator hardware and system software to become applicable to broader types of computations.

This position will be focused on modeling and analyzing novel computer architectures based on AI accelerator hardware (such as tensor cores in recent GPUs, systolic arrays as in TPUs, and reconfigurable architectures) and applied to stream processing applications. The goal is to create virtual platforms supporting advanced system-level design of these architectures at different levels of granularity, precision, and abstraction as they execute streaming applications, with the purpose of extracting useful data and feedback that can help drive their development.

Doctoral student in Computer Science with specialisation in Software Engineering

This project aims to design software engineering methods and tools to govern business-to-business (B2B) data ecosystems.  With the emergence of machine learning (ML) techniques into Industry 4.0 applications, the volumes of data required to train ML applications grow. Sharing data between multiple organisations in their engineering of software and systems may be of mutual benefit but has to be balanced with the business values, be supported by tools for data access and maintenance, and preserve integrity/security of the data sources.

For open source software (OSS), tools like Git, Jenkins and Gerrit, provide a low-threshold entry to support distributed versioning, reviews and testing. This project aims to understand the needs for corresponding methods and tools in B2B data sharing and design solutions accordingly. This includes support for versioning, encryption, differential privacy, licensing, maintaining and collaborating around shared data sets, aligning to the business models for such data sharing in Industry 4.0.

The doctoral student position is part of the research project “B2B Data Sharing for Industry 4.0 Machine Learning”, which also includes a parallel PhD project on business model innovation at Linköping University. It is funded by ELLIIT, a strategic research environment funded by the Swedish government. ELLIIT constitutes a platform for research and for cross-fertilization between disciplines and between academic researchers and industry experts. ELLIIT stands out by the quality and visibility of its publications, and its ability to attract and retain top talented researchers, and aims at being recognized as a top international research organization.

Read more and apply no later than 15 April at lu.varbi.com