Open Positions
Delegates from the sponsoring organisations whose current job vacancies are shown below will be at @ECMLPKDD 2020. This is your opportunity to meet and talk with research groups and companies looking for skilled and specialist researchers like you.
Senior Machine Learning Expert (Postdoc)
Fraunhofer is the biggest organization for applied science in Europe. In 2019, in the “research” and “public sector” category of the Trendence Graduate Barometer as well as in the Randstad Employer Brand Research, we were named »TOP 1 Employer Germany«.
In Fraunhofer IAIS, around 300 employees develop customized solutions for the integration and analysis of data for our customers in the industry. The emphasis lays on competencies in the areas of Artificial Intelligence, Machine Learning, Big Data, Multimedia Content Analytics, Information Integration and Enterprise Modelling and Enterprise Analysis.
Come and strengthen our Knowledge Discovery team and our team of the competence centre Maschinelles Lernen Rhein-Ruhr (ML2R)! Being one of six promoted competence centres for artificial intelligence, ML2R has been doing top-level research regarding Machine Learning, promoting scientific young talents and strengthening transfer of technology into business since 2018. Our research spectrum reaches from research on new algorithms and models to applying the current findings in different areas such as health care, process automation, automotive or industrial analytics.
Our current research focus is on hybrid knowledge- and data-driven machine learning, trustworthy AI and their application in innovative cognitive systems. Here you can significantly contribute with your knowledge in Machine Learning and Artificial Intelligence, develop and publish new methods and use your expertise in projects with our customers from the industry.
Your tasks include
Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally, Fraunhofer may grant performance-based variable remuneration components. The position is initially limited for 2 years (with the possibility of extension). In case of identical qualifications, preference will be given to severely disabled candidates. The Fraunhofer-Gesellschaft is committed to providing equal career opportunities for men and women. This vacancy is also available on a part-time basis.
We are looking forward to your application in our online portal.
For further questions, please contact:
Jasmin Kröhling
jasmin.kroehling@iais.fraunhofer.de
Telefon +49 2241 14-2636
www.iais.fraunhofer.de
Fraunhofer is the biggest organization for applied science in Europe. In 2019, in the “research” and “public sector” category of the Trendence Graduate Barometer as well as in the Randstad Employer Brand Research, we were named »TOP 1 Employer Germany«.
In Fraunhofer IAIS, around 300 employees develop customized solutions for the integration and analysis of data for our customers in the industry. The emphasis lays on competencies in the areas of Artificial Intelligence, Machine Learning, Big Data, Multimedia Content Analytics, Information Integration and Enterprise Modelling and Enterprise Analysis.
Come and strengthen our Knowledge Discovery team and our team of the competence centre Maschinelles Lernen Rhein-Ruhr (ML2R)! Being one of six promoted competence centres for artificial intelligence, ML2R has been doing top-level research regarding Machine Learning, promoting scientific young talents and strengthening transfer of technology into business since 2018. Our research spectrum reaches from research on new algorithms and models to applying the current findings in different areas such as health care, process automation, automotive or industrial analytics.
Our current research focus is on hybrid knowledge- and data-driven machine learning, trustworthy AI and their application in innovative cognitive systems. Here you can significantly contribute with your knowledge in Machine Learning and Artificial Intelligence, develop and publish new methods and use your expertise in projects with our customers from the industry.
Your tasks include
- Conception, development and implementation of new methods of Machine Learning and their application in projects
- Significant support in defining and developing the research strategy of the department and coordination with our partners at universities
- Supervision and technical guidance of doctoral students as well as supervision of thesis projects
- Acquisition of scientific third-party funding projects
- Acquisition of industry projects as well as counselling of our industry partners in terms of Artificial Intelligence
- Conception and implementation of trainings
- You have successfully completed your PhD in Computer Science or a similar subject (Computer Linguistics, Mathematics, Physics etc.) and are familiar with mathematical methods of data analysis
- You have academic and practical experience in Machine Learning, e.g. in Deep Learning, Bayesian methods, logic-based Machine Learning or Kernel methods
- You have academic and practical experience in one of the following areas: Textmining/ NLP, trustworthy AI, anomaly detection, time series, interactive Machine Learning, hybrid knowledge-based Machine Learning, ideally in combination with applications in the areas of health care, process optimization, automotive or industry
- Good programming skills in Python as well as in Numpy / Scipy are essential
- Ideally, you are familiar with TensorFlow or Torch
- You have routine in applying agile methods of software development such as Scrum, TDD & Continuous Integration and in code management, e.g. with Git
- You have proven your ability to work scientifically and have been publishing in renowned journals and at conferences
- You show a high degree of initiative, responsibility and willingness to perform
- You are able to speak and write English fluently; good German skills (B2) or being willing to achieve good German skills quickly with our support is essential
- We offer a pleasant working atmosphere and an unique working environment that combines current research with economic relevance.
- You set the foundations for innovative cognitive technologies by designing and implementing intelligent applications and thereby actively shape the future.
- You research new methods, publish your findings and exchange knowledge in a scientific environment at conferences and workshops.
- You have the possibility to take over project lead and leadership tasks.
- An environment where ethics and responsibility playing an important role – we have the courage to question trends and attach great importance to data protection.
- In our institute, diversity is an important strategic goal: we actively promote equal opportunities and diversity, starting with a diversity training for all employees.
- We live a family-friendly culture: sometimes family comes first – we know that.
Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally, Fraunhofer may grant performance-based variable remuneration components. The position is initially limited for 2 years (with the possibility of extension). In case of identical qualifications, preference will be given to severely disabled candidates. The Fraunhofer-Gesellschaft is committed to providing equal career opportunities for men and women. This vacancy is also available on a part-time basis.
We are looking forward to your application in our online portal.
For further questions, please contact:
Jasmin Kröhling
jasmin.kroehling@iais.fraunhofer.de
Telefon +49 2241 14-2636
www.iais.fraunhofer.de
Senior Data Scientist with Focus on Security of Machine Learning
Date: Applications are considered on a rolling basis
Location: Helsinki
To protect our customers even better we are investing heavily in expanding our core competences in the artificial intelligence domain. Would you like to be one of the people taking cyber security to the next level, with specific focus on security of artificial intelligence / machine learning?
We are looking for the right person to join the team in our Artificial Intelligence Centre of Excellence (AICE) working on solutions for securing machine learning and artificial intelligence. We are happy to consider both full-time candidates as well as researchers looking for a part-time industry role in addition to their academic career - collaboration with academia is a key part of our approach.
We see that artificial intelligence is software, but very specific kind of software and hence requires some specific type of approaches to security. This is one of our focus areas and we would like to expand the team with more people who have experience in the area of securing artificial intelligence. To be able to build the best defences we must also understand the ways to attack and will work also on understanding potential vulnerabilities and ways of attacking artificial intelligence powered solutions.
That said, there will naturally be also other interesting problems to work on in adding true artificial intelligence capabilities across F-Secure cyber security solutions as we are all about working together to protect our customers. We are all about cyber security, but being the best in the field requires a wide variety of different skillsets. We are a diverse bunch, but we all have one thing in common - what we do is meaningful and impactful. And we do not forget to have also fun while making a difference!
Key responsibilities in this role:
Date: Applications are considered on a rolling basis
Location: Helsinki
To protect our customers even better we are investing heavily in expanding our core competences in the artificial intelligence domain. Would you like to be one of the people taking cyber security to the next level, with specific focus on security of artificial intelligence / machine learning?
We are looking for the right person to join the team in our Artificial Intelligence Centre of Excellence (AICE) working on solutions for securing machine learning and artificial intelligence. We are happy to consider both full-time candidates as well as researchers looking for a part-time industry role in addition to their academic career - collaboration with academia is a key part of our approach.
We see that artificial intelligence is software, but very specific kind of software and hence requires some specific type of approaches to security. This is one of our focus areas and we would like to expand the team with more people who have experience in the area of securing artificial intelligence. To be able to build the best defences we must also understand the ways to attack and will work also on understanding potential vulnerabilities and ways of attacking artificial intelligence powered solutions.
That said, there will naturally be also other interesting problems to work on in adding true artificial intelligence capabilities across F-Secure cyber security solutions as we are all about working together to protect our customers. We are all about cyber security, but being the best in the field requires a wide variety of different skillsets. We are a diverse bunch, but we all have one thing in common - what we do is meaningful and impactful. And we do not forget to have also fun while making a difference!
Key responsibilities in this role:
- Design and implement algorithms and solutions to solve complex problems with specific focus on securing machine learning / artificial intelligence
- Work with data engineers to implement effective and scalable data processing
- Work together with cyber security experts to find novel solutions to real life problems
- Possibility to put your analytical skills to real beneficial use - make a difference
- Build solutions to secure artificial intelligence and machine learning in real life
- Be a part of building the next level in cyber security - work as a part of a team dedicated to bringing artificial intelligence methods to practical use
- Work together with like-minded and highly skilled experts and also learn from your colleagues
- Understanding of core cybersecurity paradigms, adversarial thinking and threat modelling
- Research or industry experience with security of machine learning / artificial intelligence
- A strong mathematical background and Ph.D. or M.Sc. in Statistics, Mathematics, Physics, Information Science, Computer Science or Data Science (or other relevant field)
- Solid understanding of the usage, implementation and theory of relevant algorithms such as for example regression models, neural networks, clustering and classification
- Experience with relevant programming languages, for example: Python, R, Scala, Java
KNIME Career Website
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Location: Germany, Baden-Württemberg, Konstanz
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Account Manager (Konstanz)
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Java Developer - Backend (Berlin)
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Java Developer - Core (Berlin)
Location: Germany, Berlin, Berlin
Java Developer - Core (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
Java / Python Integration Developer (Austin, TX)
Location: United States, Texas, Austin
Java / Python Integration Developer (Berlin)
Location: Germany, Berlin, Berlin
Java / Python Integration Developer (Konstanz)
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JS Frontend Developer (Berlin)
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JS Frontend Developer (Konstanz)
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Partner Accounts and Operations Manager (Austin TX)
Location: United States, Texas, Austin
Partner Accounts and Operations Manager (Berlin)
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Partner Manager (Austin, TX)
Location: United States, Texas, Austin
Partner Solutions Engineer (Austin, TX)
Location: United States, Texas, Austin
Product Marketing Specialist (Berlin)
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Technical Support Engineer (Austin, TX)
Location: United States, Texas, Austin
Technical Support Engineer (Berlin, Stuttgart, Konstanz)
Location: Germany, Berlin, Berlin
Web Developer (Berlin)
Location: Germany, Berlin, Berlin
Web Developer (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
Accountant (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
Account Manager (Austin, TX)
Location: United States, Texas, Austin
Account Manager (Berlin)
Location: Germany, Berlin, Berlin
Account Manager (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
Business Analyst (Berlin)
Location: Germany, Berlin, Berlin
Business Analyst (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
Business Development Representative (Austin, TX)
Location: United States, Texas, Austin
Cloud Engineer - (Austin, TX)
Location: United States, Texas, Austin
Customer Data Scientist (Berlin)
Location: Germany, Berlin, Berlin
Customer Data Scientist (Stuttgart, Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
Data Scientist (Austin, TX)
Location: United States, Texas, Austin
Data Scientist - Intern (Berlin)
Location: Germany, Berlin, Berlin
Graphic Designer (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
Java Developer - Backend (Austin, TX)
Location: United States, Texas, Austin
Java Developer - Backend (Berlin)
Location: Germany, Berlin, Berlin
Java Developer - Backend (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
Java Developer - Core (Berlin)
Location: Germany, Berlin, Berlin
Java Developer - Core (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
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Location: United States, Texas, Austin
Java / Python Integration Developer (Berlin)
Location: Germany, Berlin, Berlin
Java / Python Integration Developer (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
JS Frontend Developer (Berlin)
Location: Germany, Berlin, Berlin
JS Frontend Developer (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
Partner Accounts and Operations Manager (Austin TX)
Location: United States, Texas, Austin
Partner Accounts and Operations Manager (Berlin)
Location: Germany, Berlin, Berlin
Partner Manager (Austin, TX)
Location: United States, Texas, Austin
Partner Solutions Engineer (Austin, TX)
Location: United States, Texas, Austin
Product Marketing Specialist (Berlin)
Location: Germany, Berlin, Berlin
Product Marketing Specialist (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
Technical Support Engineer (Austin, TX)
Location: United States, Texas, Austin
Technical Support Engineer (Berlin, Stuttgart, Konstanz)
Location: Germany, Berlin, Berlin
Web Developer (Berlin)
Location: Germany, Berlin, Berlin
Web Developer (Konstanz)
Location: Germany, Baden-Württemberg, Konstanz
NEC Laboratories Europe has an immediate opening for a Research Associate / Research Scientist. [ref: 2005-372-ISS]
The Intelligent Software System’s group is looking for a researcher to contribute to the creation of technologies that help the analysis and adaptation of high- performance software systems to heterogeneous and diverse deployment scenarios.
We are looking for researchers with expertise in compilers and/or machine learning technologies and an interest in applying those to ease the development of high-performance systems, which include different and potentially distributed components. Example appli- cations include, but are not limited to, distributed machine learning systems and data processing pipelines. The ideal candidate is a creative individual who is comfortable in continuously learning, and with a wish to build technologies that have impact. Knowledge in programming languages and code synthesis is appre- ciated. If you are interested in building technologies that change the status-quo and have larger impact, then you should apply.
We participate in research projects with both industrial and academic partners. We want you to write your research papers and encourage you to stay actively involved in the research community. English is the working language in the lab. Initially, the position is limited to two years.
Please send your application June 30, 2020 electronically via the applications web system https://www.neclab.eu/jobs/
Desired Skills and Experience:
Tel. +49-6221-4342-0
The Intelligent Software System’s group is looking for a researcher to contribute to the creation of technologies that help the analysis and adaptation of high- performance software systems to heterogeneous and diverse deployment scenarios.
We are looking for researchers with expertise in compilers and/or machine learning technologies and an interest in applying those to ease the development of high-performance systems, which include different and potentially distributed components. Example appli- cations include, but are not limited to, distributed machine learning systems and data processing pipelines. The ideal candidate is a creative individual who is comfortable in continuously learning, and with a wish to build technologies that have impact. Knowledge in programming languages and code synthesis is appre- ciated. If you are interested in building technologies that change the status-quo and have larger impact, then you should apply.
We participate in research projects with both industrial and academic partners. We want you to write your research papers and encourage you to stay actively involved in the research community. English is the working language in the lab. Initially, the position is limited to two years.
Please send your application June 30, 2020 electronically via the applications web system https://www.neclab.eu/jobs/
Desired Skills and Experience:
- Excellent written and spoken communication skills
- Programming proficiency e.g., in C/C++, Python
- Experience with programming languages and source-to-source compilers
- Familiarity with software development under UNIX-based system (Linux, FreeBSD etc.)
- Scientific Publications in recognized top international venues
- Familiarity with data science and machine learning tools, scikit-learn, pandas, PyTorch
- Familiarity with distributed Big Data analysis frameworks, such as Hadoop and Spark
Tel. +49-6221-4342-0
Senior Software Engineer - Qualcomm AI Research
Location: Netherlands, Amsterdam
Deep Learning Research Engineer - Qualcomm AI Research
Location: USA, San Diego
Location: Netherlands, Amsterdam
Deep Learning Research Engineer - Qualcomm AI Research
Location: USA, San Diego