IBM

IBM (International Business Machines Corporation) is an American multinational technology company headquartered in Armonk, New York, United States, with operations in over 170 countries.

IBM manufactures and markets computer hardware, middleware and software, and offers hosting and consulting services in areas ranging from mainframe computers to nanotechnology. Nicknamed Big Blue, IBM is one of 30 companies included in the Dow Jones Industrial Average and one of the world's largest employers, with (as of 2016) nearly 380,000 employees.

IBM Zürich, Switzerland
20/09/2018
Internship
About the internship Analysis of continuous and discrete valued time series is essential for intelligent management of complex systems in a range of industries. Predictive maintenance aims to prevent system failures by predicting them before they occur, avoiding the consequences of outages and costly repairs. Machine learning is widely applied for understanding, forecasting and predicting based on time series data. In order to train and evaluate models continuously on near-real-time system data, a robust and scalable data processing infrastructure is required. We apply state-of-the-art technologies to enable efficient analysis of hundreds of millions of records per day. We are looking for an intern with a relevant background to join us in developing a big data infrastructure. The successful candidate will get the opportunity to participate in an advanced machine learning project that aims for high business impact by avoiding unexpected outages in managed IT systems, and gain valuable experience in processing large quantities of data to create actionable insights. Requirements Candidates are expected to have the following background and interests: Bachelor’s degree in Computer Science or related field Hands-on experience with large-scale data processing techniques Good confidence in coding Scala Preferred: Familiarity with big data technologies such as Spark and Kafka. Diversity IBM is committed to   diversity   at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable both women and men to strike the desired balance between their professional development and their personal lives. How to apply If the above internship fits your background, please send your complete CV, including a list of publications and skills, as well as contact information for three references to: Claudia Longchamp Human Resources
IBM Zürich, Switzerland
20/09/2018
Internship
About the internship Analysis of continuous and discrete valued multivariate time series is essential for intelligent management of complex systems in a range of industries, from IT equipment to cash machines and wind turbines. In the context of storage systems, detecting anomalous behavior in nonstationary multivariate time series sensor data in real time can provide service teams the ability to identify impeding performance issues in a proactive manner and act accordingly before the customer experiences them. We plan to apply state-of-the-art techniques to analyze streaming time series for hundreds of sensors to identify and locate anomalies across correlated metrics, even when they are deeply hidden in high-dimensional subspaces. We are looking for an intern with a relevant background to join us in developing a big-data anomaly detection pipeline. The successful candidate will get the opportunity to participate in an advanced machine-learning project that aims for high business impact by detecting and (potentially) predicting performance anomalies in managed storage systems. Additionally, the candidate will gain valuable experience in processing large quantities of data to create actionable insights. Requirements Candidates are expected to have the following background and interests: Bachelor’s degree in Computer Science or related field Hands-on data science on the prevalent platforms, as well as the basic fundamentals of machine learning Bonus: Proficiency in Python and some experience with anomaly-detection techniques Preferred: Familiarity with big-data technologies such as Spark, Kafka and BigSQL. Diversity IBM is committed to   diversity   at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable both women and men to strike the desired balance between their professional development and their personal lives. How to apply If the above position fits your background and interests, please send your complete CV as well as contact information for three references to: Claudia Longchamp Human Resources
IBM Zürich, Switzerland
20/09/2018
Full time
About the position Artificial neural networks have been the driving force of artificial intelligence in recent years, currently transforming many industries. However, these conventional neural networks still suffer from several severe limitations, most importantly their need for human supervision in their training, the enormous resource consumption that they incur in terms of data and energy, and their lack of flexibility such as multitasking and adaptability to changing conditions. These challenges need to be overcome before industries such as data analytics, the Internet of Things,  or autonomous drones can be fully equipped with cognitive computing capabilities. Spiking neural networks are viewed as the next generation of neural networks and are known to provide greater computational power while consuming fewer resources. These algorithms are capable of learning and computing in ways closely resembling our understanding of how the biological brain functions. In addition, spiking neural networks can be very efficiently implemented by exploiting the physical properties of new technologies such as memristive devices. At IBM Research – Zurich we have been contributing to advances in the field through hardware demonstrations of spiking neural elements mostly with phase-change memory devices. Our recent algorithmic work focuses on the core challenges in exploiting the computational advantages of spiking neural networks. We are also exploring new application domains of spiking neural networks such as cognitive storage for Big Data systems. We are inviting applications from Master’s students at ETH to conduct their thesis project at IBM Research – Zurich on this exciting new topic. A successful project would have significant impact in the field of cognitive computing. Requirements The ideal candidate should have a multi-disciplinary background, strong mathematical aptitude and programming skills. Prior knowledge on spiking neural networks is a bonus but not necessary. Please note that this will be an unpaid position for Master’s students from ETH Zurich as per the university regulations. Diversity IBM is committed to   diversity   at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable both women and men to strike the desired balance between their professional development and their personal lives. How to apply If you are interested in this challenging position on an exciting new topic, please send your complete curriculum vitae including a transcript of grades by email to: Drs. Giovanni Cherubini, Timoleon Moraitis and Abu Sebastian   Exploratory Memory and Cognitive Technologies   IBM Research – Zurich