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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.

Senior Software Developer

Do you get excited by building state-of-the-art platforms used by customer-facing web applications?

You will be working together with teams of skilled engineers, product managers, and designers to build amazing products.

• Together with the teams, you design and implement solutions that meet the needs of our business with respect to functionality, time, and quality.
• Work closely with other product teams to ensure that our infrastructure is secure, scalable, and reliable.

Senior Consultant with backend experience, BI & Data Analytics

Our BI & Data Analytics department is on an ambitious journey to democratize data and broaden the use of our valuable data even more to business.

If you are eager to be part of this journey, working with one of the most modern landscapes within BI & Data Analytics, then this is an unique opportunity to join our team.

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.

Data Scientists for Big Data, IoT and machine learning projects

Do you like working creatively with data analytics, big data, machine learning, visualisation, NoSQL and databases?

You join a new, small and agile team of highly sought for data scientists. You have the freedom to develop solutions across the organisation focusing on creativity and innovation on the conceptual stages of possible new products, services and tools.

Data Engineer for Big Data, IoT and machine learning projects

Do you like to work with new open-source technologies and to help ensure stable connectivity between the data center and our worldwide portfolio of material handling systems?

You join a new, small and agile team of data engineers and data scientists. You will be responsible for the upkeep and maintenance of our existing data pipelines. Additionally, we are constantly developing new solutions, that require us to rethink, modify or upgrade our existing infrastructure and setup.

Erfaren netværksspecialist til datacenterdrift

Vil du være med til at præge udviklingen af kritisk netværksinfrastruktur og it-sikkerhed i en organisation, der har afgørende betydning for undervisningsområdet i Danmark, herunder opbygge to-centerdrift i nye datacentre?

Vi har et alsidigt og uformelt arbejdsmiljø med højt til loftet. Du kommer til at arbejde i et miljø, hvor ingen dage er ens, og hvor der er høj trivsel og arbejdsglæde.

Vi har fokus på work-life balance og har fleksible arbejdstider. Hos os er der gode muligheder for at arbejde hjemmefra, og du får tilbudt udstyr til en god hjemmearbejdsplads.

Data Engineer med fokus på ny teknologi

Vil du være med i spidsen af den teknologiske udvikling og forme fremtiden inden for datadrevet ejendomsforvaltning? Brænder du for at anvende de nyeste teknologier og metoder til at skabe banebrydende løsninger?

Som vores nye Data Engineer vil du være en nøglespiller i at udvikle og implementere en omfattende datastrategi, der fuldt ud udnytter kraften i vores 100 % Microsoft-drevne stack til at skabe et fleksibelt og skalerbart datamiljø.

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.

Enterprise Architect – your architecture expertise will drive Norlys's ambitious initiatives forward

At Norlys, you can now become an important part of our visionary and transformative portfolio of initiatives and help revolutionise the energy and telecom industry in Denmark.

We’re looking for a skilled Enterprise IT Architect who, combining strong business understanding and technical expertise, will help ensure the foundation for building solid and future-proof solutions.

Your contribution will not only shape our technological future, but also ensure high business value and, not least, a positive customer experience.

Media Pricing Analyst

Are you a big fan of data and analytics; and are you excited about a position that offers both data controlling and data analysis tasks related to media buying?

Omnicom Media Group, one of the biggest media agencies in the Nordics, is looking for an analyst that can help us monitor buying performance across Omnicom Media Group in the Nordic region.

We can offer you an exciting position, where we promise to introduce and onboard you to our industry and company. You will be working out of the office at Midtermolen in Copenhagen.

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.