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Graduate – Software Automation Program

Cognizant Denmark is currently seeking applications from Graduate Engineers for our Graduate Program in 2024 based in Hillerød, Denmark.

Successful candidates will be part of the Global Graduate Program.

This Program is an intensive 8-week Training Program that consists of Classroom Training, Workshops, Theory, Practical Training, and a Simulation Project.

Senior Digital IC Engineer

Are you a passionate digital IC designer with a talent for IC architecture and digital implementation? Would you like to contribute to the development of advanced solutions that positively impact millions of people worldwide?

Welcome to Chipset, a key division of our Research and Development department. We specialize in the creation of chipsets for our renowned hearing instruments and accessories. Our continuous pursuit of technological quality enables us to deliver professional-grade solutions in DSP processing, audio quality, connectivity,

Industrial PhD and Postdoc Positions in Machine Learning for Hearing Aid Systems

The projects will explore and design machine learning algorithms for processing potentially noisy sound signals in a hearing aid context, to increase speech intelligibility and sound quality, and to reduce listening effort.

The algorithms to be explored rely on hearing aid microphone signals, as well as additional multi-modal inputs, e.g., EEG/Ear-EEG, visual inputs, user body movements, and eye-tracking. We aim to develop algorithms which align with the user’s intent by continuously providing the sound signal of interest to the user.

Senior software developer

Are you passionate about your craft and do you see yourself working with business-critical systems? Would you like to join a team that develops solutions for our global offices and supports our green transition journey?

Your primary role will be to develop and integrate components in our system landscape. You will design systems and tools and close collaboration with the architect and the rest of the team.

PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

Do you want to do research on cutting edge machine learning methods?

If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural networks, we can offer you the best possible foundation.

During the PhD program, you are expected to:

• Develop novel methods for uncertainty quantification in deep learning.
• Work with state-of-the-art nerual network architectures applied to molecular data.
• Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS.

PhD scholarship: Computational Prediction of Nuclear Fission Products Behavior in a Molten Salt Reactor – DTU Chemistry

A 3-year PhD scholarship concerned with the use of computer simulation for predicting fission products (FP) behavior – such as solubility – in a Molten Salt Reactor (MSR) is available.

In the SolveMSR project – funded by the Independent Research Fund Denmark – we will work towards creating a computational framework for predicting FP behavior in the fuel salt matrix of MSRs. We will benchmark the framework against experimental data.

PhD Scholarships (2) in Cyber-Security and Cyber-Deception – DTU Compute

The two positions are part of the project Loki: Situational aware collaborative bio-inspired cyber-deception.

This project, inspired by Norse mythology, with Loki being a shape-shifter god and a master of trickery, aims at redefining and evolving the emerging field of cyber-deception. Here, we attempt to deceive attackers by creating fake vulnerable systems that are aware of their surroundings and are constantly shifting.

The project takes inspiration from nature (e.g., from the mimicry phenomenon) to synthesize sophisticated deception.

PhD-Scholarship in Network Optimisation for Connected, Cooperative and Automated Mobility (CCAM) Development – DTU Management

DTU Management’s Transportation Systems Modelling section would like to invite applications for a 3-year PhD position starting on 1 October 2024 or earlier.

The candidate will contribute to the CulturalRoad project, funded by the European Commission.

Your primary tasks will be:

• Develop mathematical modelling and solution algorithms for routing and scheduling passenger transport using CCAM fleets
• Advance multimodal traffic assignment models to consider transport equity and multimodality
• Propose and investigate the use of semi-personalized travel incentives for improving public transport

Engineering Manager til Core Banking – Customer Integration

Når du træder ind i teamet og området, vil du først og fremmest opbygge viden om teamets løsninger i eNettet, som er indenfor sektorintegrationer som eSkat, eEngagement, eBankskifte, opbygge gode relationer til vores kunder og grænseflæder samt etablere et stærkt samarbejde med resten af lederteamet i Core Banking.

Kulturen i teamet er præget af tillid og hjælpsomhed. Der er en god uformel tone højt humør, og teamet gør meget for at have en sjov og udfordrende hverdag, hvor der altid er plads til et godt grin.

PhD scholarship in Cryptography – DTU Compute

We are looking for a bright, ambitious, and motivated PhD student to join the cryptography group in the Cybersecurity Engineering Section.

The goal of the PhD project is to improve the state of threshold post-quantum cryptography.

Your main task will be to design new threshold cryptographic algorithms with post-quantum security.

Niels Brock Copenhagen Business College seeks teachers to computer science, Bachelor programme

Do you find it challenging being part of a newly started Bachelor programme in Computer Science?

Does it appeal to you to teach computer science in an international environment?

The programme contains both up-to-date subjects like AI, Big Data, and Agile Development and classic disciplines like Database design and implementation, Programming, and Data Structures and Algorithms but also development projects with both individual and group elements.

Data scientists til udvikling, kvalitetssikring og drift med AI

Vil du være med til at sikre finansieringen af velfærdssamfundet ved at bygge fremtidens data- og analysebaserede Skatteforvaltning? Brænder du for at udvikle, kvalitetssikre og drifte løsninger inden for machine learning (ML) og artificiel intelligence (AI) i tæt samspil med vores fagstyrelser?

Vi har plads til både erfarne og mere nyuddannede profiler, idet vi gerne lærer fra os og også gerne vil lære nyt.

Senior Data Scientist (f/m/d)

As a Senior Data Scientist at B&K Vibro you will be responsible for the data processing and state-of-the-art model development of our centralized cloud-based solution for predictive maintenance of industrial assets (BKV Beyond Platform).

Your mission:

• Develop and implement sophisticated machine learning/deep learning models for condition monitoring, predictive maintenance, and anomaly detection in industrial machinery and systems.
• Extend and maintain the value of B&K Vibro’s predictive maintenance cloud-based system (BKV Beyond platform).
• Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to ensure the successful deployment and scaling of data science solutions.

Machine Learning Platform Architect

As the Machine Learning Platform Architect in BESTSELLER TECH, you will be a pivotal part of our AI Fashion Planning team, responsible for designing and building a robust, scalable and secure ML platform.

You will play a crucial role in shaping the future of AI in fashion, working at the intersection of technology, creativity and strategy.

Postdoctoral positions in Sustainability, Genomics, Microbiology, and Bioinformatics/Data Science - DTU Biosustain

DTU Biosustain is actively seeking candidates for postdoctoral roles in fields such as sustainability, genomics, microbiology, and bioinformatics/data science.

We welcome applications from researchers in these or related fields, especially those focusing on large-scale data integration using advanced technologies (e.g., long-read, single-cell, microscopy, metabolic) for sustainable food and agricultural production.