Student internship: Software Engineer

Ref. 2018-02


About the position

We are looking for highly motivated and enthusiastic students in Computer Science or a related discipline who would be interested in improving their practical skills working with an experienced team at the IBM Research – Zurich Laboratory in Rüschlikon. Preferred duration is 6 months, but we can discuss alternatives (4 to 12 months).

A strategic focus area for the Foundations of Cognitive Solutions team at IBM Research – Zurich is to develop cognitive technology and solutions in the healthcare domain. By exploiting the large amount of existing public and clinic-specific medical data, we are creating systems that can improve patient care by assisting medical professionals. Our work environment is exciting, challenging, and unique since it combines fundamental research and solution engineering focusing on industry projects, which ensures that we develop unique solutions that are valuable for real-world applications.


Requirements

Candidates applying for this internship should fulfill the following requirements:

  • Completed Bachelor’s degree in computer science, software engineering, software architecture, or equivalent.
  • Proficient in Python. Knowledge of other programming languages desired, but not necessary.

Applicants to our team should have a passion for both developing new algorithms and implementing solutions to apply our results to exciting new applications. We work in small, solution-focused teams. It is essential that our team members take initiative in helping us find innovative solutions to problems.


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, please send a short e-mail with your CV, a copy of your most recent grades, and information on your availability to

Work-study position: IBM Research THINKLab Zurich

Ref. 2018-01


About the position

The world is at a major turning point: Technology is enabling entirely new forms of business operations, business models, industries and outcomes. We have exponentially more power to reach the full potential of our life’s work than any humans before us. This is our vision for the future. The IBM Research THINKLab in Zurich is a unique place in Europe where senior decision makers of governments, enterprises and academia connect directly with IBM researchers and their work to inspire and incubate transformations and disruptions.

Do you want to be part of this journey? We are looking for a

Work-study Student (50%)

Your tasks and projects may include:

  • Help enhance the visibility of the THINKLab and its offerings to existing and new internal and external customers to generate high-profile visits and workshops
  • Support the execution of the THINKLab’s communications activities
  • Support major events and activities, including content preparation and communication
  • Interact with European IBM Client Centre Network
  • Generate regular highlight stories about the THINKLab in internal media such as IBM Connections, IBM Communities and blogs together with the THINKLab consultants
  • Produce quarterly YouTube videos and webinars (with THINKLab consultants)
  • Support special projects.

This position is available from 1 April 2018 for a duration of one to two years or until the end of the studies.


Requirements

  • Preferably Bachelor or Master student of Business Informatics, Economics or Communications  
  • Very strong written and spoken communication skills in English and German
  • Interest in information technology, science and research.

Diversity

We offer a diverse, independent professional activity with experienced colleagues in a friendly atmosphere. You will find a dynamic, multi-cultural environment, and flexible work conditions that can be adjusted to your professional experience and your private environment.


How to apply

Please send your complete applications documents by email to


Human Resources
IBM Research – Zurich
Säumerstrasse 4
8803 Rüschlikon

Note: We do not consider applications by employment agencies or employment consultants.

Post-doc researcher: Photonic recurrent neural networks

Ref. 2017-30


Project description

New computing paradigms promise to extend the functionality of today’s von-Neumann-based systems. Artificial intelligence and neural network-based systems have proved to be good choices for classifying unstructured data and for image and speech recognition. To fully exploit the performance of such systems, dedicated hardware solutions will be required to accelerate neural network training and for fast and power-efficient execution.

At IBM Research – Zurich we are establishing novel hardware technologies for neural networks, building on existing integrated electrical and optical platforms. Neural network simulations and system-level experiments complement the hardware-related activities and demonstrate the impact of the new technology platforms.

In the Neuromorphic Devices and Systems group, a post-doc position is available embedded in the SNF project NAPRECO, a collaboration with the University of St. Gallen (HSG). The main responsibility is to develop novel recurrent neural networks in the optical domain, benchmark such newly developed systems, and determine their applicability to real-world problems. The work will be at the interface between physical simulations and photonic characterization, mathematics of reservoir computing, and computer science.

Important tasks to be performed are:

  • Design of next-generation integrated photonic recurrent neural networks, interfacing with collaborators in the field of mathematics.
  • Developing an experimental setup to execute software-controlled training and interference tasks on the photonic hardware circuits.
  • Characterization and benchmarking of the recurrent neural networks fabricated in IBM cleanroom facilities.
  • Evaluation of newly developed hardware networks with common cognitive benchmarks and analysis of their applicability to real-world problems.

Duration

This post-doc position is for a duration of 18 months.


Requirements

The successful candidates will have a strong background and interest in neural network-based systems, simulation of neural networks, and/or reservoir computing systems. Experience in the design and/or the high-speed characterization of optical systems is a plus.


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

Applications including CV, publication list and references should be sent by email to , preferably before 1 Feb 2018.

Dr. Bert Jan Offrein
Manager Neuromorphic Devices and Systems
Phone: +41 44 724 8572
e-mail: ofb@zurich.ibm.com

PhD project: Quantum control methods

Ref. 2017-28


Project description

Within the EC-funded Marie Skłodowska-Curie Innovate Training Network “Quantum-enhanced Sensing via Quantum Control” (QUSCO) we are looking for two talented, skilled and highly motivated candidates interested in quantum information science with superconducting quantum devices. The position entails the development of optimal control methods for superconducting qubits to improve gate fidelities, to optimize system identification and calibration sequences and to investigate the use of optimal control in applications for quantum chemistry and classical optimization problems. The project ties in directly with the IBM’s efforts to operate a practical quantum computer and make it accessible.

This project offers the unique possibility to interface directly between experiment and theory: One PhD student will be located at the IBM Research – Zurich laboratory assisting the experimental team, the second PhD student will work first at the Saarland University on theoretical aspects before bringing in the acquired theory expertise to IBM Research – Zurich in the second part of the PhD. Both PhD students will be supervised by Prof. Frank Wilhelm-Mauch at the Saarland University and able to obtain a degree there.


Requirements

Candidates must hold a Master’s degree in physics, ideally with a solid background in quantum mechanics and quantum information processing with a focus on superconducting circuits. Specific interest and know-how in instrumentation and software control as well as numerical computation methods is a prerequisite. Good knowledge of Python and C++ is desired. Candidates must be curious to learn or expand their expertise on microwave engineering, signal processing, low-temperature physics, control and measurement automation, data analysis and coding. Owing to EC regulations, the successful candidates must not have been resident of the host country for more than 12 months in the past three years.


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

To apply for the position please send your CV, a statement of research interests with a short description of your background, motivation and skills (max. 2 pages) and two reference letters directly sent to . Consideration of applications will begin immediately and will continue until both positions are filled.

PhD project: Plasmonic III–V light sources on Si

Ref. 2017-27


About the position

The MIND (Materials Integration and Nanoscale Devices) group at IBM Research – Zurich is offering an opportunity for a highly motivated PhD student to work on the development of plasmonic III–V nano-emitters on silicon. The project will be carried out in the framework of an ERC project under H2020.

In the MIND group we specialize in III–V integration on silicon for novel electronic and photonic devices as well as nanoscale materials and device characterization. In particular, we are currently investigating III–V nanowire emitters monolithically integrated on Si by template assisted selective epitaxy.

The research will comprise the evaluation of novel CMOS-compatible plasmonic metals, and their implementation for hybrid metal cavities for III–V optical emitters.

The work involves nanofabrication of devices using our state-of-the-art cleanroom facility, combined with various material and optical characterization techniques, notably the evaluation of waveguide transmission and optical cavity properties. Electromagnetic simulation software will be employed for device design and insights into device physics.

GaAs ring emitter
GaAs ring emitter grown on Si and optical simulation. Courtesy of J. Winiger, IBM.

Requirements

The candidate is expected to hold an MSc degree in Physics, Electrical Engineering or similar with outstanding academic record and should possess a high degree of motivation and creativity combined with good communications skills in English (spoken and written). A background in optics and photonics as well as plasmonics would be advantageous. Moreover, knowledge of optical characterization techniques and optical simulation is considered an asset.


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

Interested applicants should submit their curriculum vitae including references and relevant documentation to:

IBM Research – Zurich
Switzerland

Only electronic applications will be considered.

Master’s thesis/semester project for ETH student: Demonstrating the computational advantages of spiking neural networks

Ref. 2017-25


About the position

Neural networksArtificial neural networks (ANNs) 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 data and energy consumption that they incur, and their lack in 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 (SNNs) are viewed as the next generation of neural networks. These networks can be very efficiently emulated by exploiting the physics of electronic devices. In addition, compared to conventional ANNs, SNNs in theory could yield higher computational power and could learn and compute in ways closely resembling the biological brain. However, algorithms practically demonstrating their theoretical advantages have been largely missing. In IBM Research – Zurich we have been contributing to advancing the field with hardware demonstrations of spiking neural elements with phase-change memory nanodevices and our current work focuses strongly also on the algorithmic front, aiming to identify and enable sources of computational superiority in SNNs compared to conventional ANNs.

We are inviting applications from ETH students to conduct their thesis work/semester project at IBM Research – Zurich on this exciting new topic. A successful project would have significant impact on the future of cognitive computing, by providing concrete experimental demonstrations of our theoretical work, making use of Big Data sources or video from neuromorphic vision sensors.


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.


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:


Exploratory Memory and Cognitive Technologies Group
IBM Research – Zurich

Post-Doc researcher: Applied IoT and artificial intelligence

Ref. 2017-21


About the position

A post-doctoral position is available immediately in the Smart System Integration group at IBM Research – Zurich in the field of research and development of applied augmented intelligence. The research will take place within an inter-disciplinary team involving development and improving wearable sensing technology and analyzing the resulting data using cognitive algorithms including cutting-edge Watson APIs. This effort will contribute to IBM’s position as global leader in the development of radically innovative big data and augmented intelligence solutions.


Requirements

The successful candidate will have a strong interdisciplinary background in computer or informatics engineering, and experience in developing internet of things or wearable devices as well as pattern recognition and deep learning. The highly motivated individual will join our multi-disciplinary research team to advance our effort in the internet of the body project in the IBM Research Frontiers Institute with the goal to provide people with a healthier way of living and to augment their senses. The position will focus on experimental data gathering and software development for embedded wearable systems and edge computers. The objective is to apply advanced cognitive algorithms to the acquired data and contribute to develop the field of machine intelligence. These activities will support IBM’s vision on applied augmented intelligence.


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

Please send your CV including contact information for two or three references to:

Mgr. Smart System Integration
IBM Research GmbH
Säumerstrasse 4
CH – 8803 Rüschlikon, Switzerland

PhD opportunity: COSMIC, COmbating disorders of adaptive immunity with Systems MedICine

Ref. 2017-15


A PhD research position is available at the IBM Research – Zurich Laboratory, as a part of the H2020 COSMIC consortium, focused on understanding disorders of the adaptive immune system.

Background: EU countries face large health challenges to combat chronic diseases. Recently, systems medicine has emerged as a promising discipline to accelerate the translation of basic research into applications for improved diagnostics and personalized treatment. Its power arises from the integration of laboratory and computational approaches crossing research disciplines and sectors to solve clinical questions.

Approach: COSMIC will focus on B-cell neoplasia and rheumatoid arthritis, prototypical diseases originating from abnormal functioning of immune cells, often resulting in similar antigen specificities. The successful candidate will develop new algorithms to understand the molecular mechanisms of these diseases, and to identify strategies for optimal personalized patient treatment.

Starting date: 1 June 2018.


Requirements

  • Strong background in computer science, mathematics, physics or similar.
  • Working knowledge of C or C++.
  • Working knowledge of Matlab, R or equivalent.
  • Comfortable knowledge of statistics and mathematical modeling.

In addition, the following experience would be helpful, but not essential:

  • Experience in machine learning, deep learning, big data analysis, and high performance computing.
  • Experience in systems biology or systems medicine.

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

Interested candidates should apply through the COSMIC website under “Vacancies”. Please mention there that you wish to be considered for the position at the IBM Research – Zurich Lab.
Application materials can also be sent to .

Pre-Doc researcher: Optomechanics

Ref. 2016-21


Project description

We are seeking a highly motivated candidate for a Ph.D. position in the area of optomechanics as part of the project OMT – Optomechanics Technologies, a Marie Skłodowska-Curie Innovative Training Network funded by the European Union.

The work involves simulation and design of highly miniaturized photonic devices, cleanroom processing at the limits of nanofabrication, laser-based optical characterization, and high-speed electronic measurements. Quantum physics in mesoscopic mechanical oscillators will be explored as well as novel non-linear effects occurring where light is confined to exceedingly small volumes, with the aim of demonstrating efficient optomechanical microwave-to-optical transduction in ultra-compact photonic crystal devices.

The Ph.D. student will work in the Quantum Technologies group at IBM Research GmbH and be mentored by Dr. Paul Seidler. Prof. Tobias Kippenberg at the École Polytechnique Fédérale de Lausanne will serve as the official Ph.D. advisor.

The successful candidate will enjoy an internationally competitive salary and work with collaborative and creative groups in an exclusive research environment.

The position is available immediately.


Requirements

  • A master’s degree in engineering or physics
  • An outstanding academic record
  • Good communication and English language skills

Application is open to both EU and non-EU nationals. The rules for this position require that the candidate has not resided or carried out his/her main activity (work, studies, etc.) in Switzerland for more than 12 months during the past three years.

Preference will be given to applicants with at least one publication in a peer-reviewed journal. Previous research experience in optics, numerical simulation or nanoscale fabrication would be beneficial.


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

Please send a single PDF file containing a cover letter, curriculum vitae, transcripts, and contact information for at least two references to Dr. Paul Seidler.

Post-Doc researcher: NLP and medical ontologies in German for cognitive pre-clinical assessment of patients

Ref. 2016-13


Project description

RHÖN and IBM will join forces to accelerate pre-clinical assessment of patients through cognitive computing built on top of our Watson capabilities. The goal is to equip doctors and medical staff with evidence and data insights before the patient even enters the clinical phase. This will result in improved medical care during pre-clinical assessment both for ambulant and inpatient care so that the right patient receives the right treatment at the right time.

In this context we are looking to hire a Post-Doctoral Fellow into our research team. We look for an enthusiastic person skilled in Natural Language Processing and medical ontologies in German, who is capable of programming and keen on taking up new tools and approaches. We very much work in a team where each member complements the others. The work will have a direct impact on the client as well as on research in healthcare informatics.

In the future, RHÖN-KLINIKUM AG, one of the largest healthcare providers in Germany, will cooperate with IBM in order to optimise patient management. The concept of the joint project is to ensure data-assisted patient navigation providing the best possible healthcare at the pre-clinical stage already and subsequently moving into either the in-patient or out-patient treatment. Inappropriate patient referrals, which cost both time and money, can therefore be avoided. Better use of patient data can also help in providing further recommendations for treatment.

IBM will contribute innovative “cognitive computing“ technology to this joint project. In a first phase, a cognitive assistance system will be installed at the “Center for Undiagnosed and Rare Diseases” at the university hospital in Marburg to help in the very work-intensive processing of such medical cases. The IBM Research – Zurich Laboratory will be responsible for the technological management of the project. The knowledge obtained from the first project phase at the university hospital in Marburg will then be analyzed and used for other hospitals in the corporate group.


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.


Contact

Matthias Reumann, PhD
Sustainable, resilient health systems research
IBM Research – Zurich
Saeumerstrasse 4, 8803 Rueschlikon, Switzerland
mre@zurich.ibm.com
office: +41 44 724 84 12
mobile +49 157 313 867 43

Master’s thesis project in Systems Biology group: Spatiotemporal modelling of DNA replication

Ref. 2016-12


Project description


DNA replication, the duplication of a cell’s genetic material, ensures the maintenance of the genetic information and is the basis of biological inheritance. In eukaryotic cells, DNA replication initiates at multiple locations in the genome, known as origins of replication, and continues from there in both directions, thereby creating replication forks.

This project aims at developing a stochastic hybrid model of DNA replication that incorporates spatial information on origin locations and protein mobility dynamics. The ultimate goal is to understand the relationship between 3D structure and DNA replication. The model will be tailored for the case of fission yeast using recent experimental data and will be simulated in a high-performance computing setup.

The research will be conducted in collaboration between the Automatic Control Laboratory of ETH Zurich and IBM Research – Zurich. More specifically, the project will involve:

  • Adapting an existing model of protein mobility [1, 2] for the case of fission yeast nucleus and model origin locations in 3D using experimental data.
  • Integrating the origin location and existing DNA replication models [3] to enable stochastic initiation of origin firing when activation factors diffuse and bind onto the origins.
  • Simulating the resulting integrated model to test various hypotheses, for example different kinetic parameters of the activation factors or different relative positioning of the origins.
  • Examining whether and how relative origin positioning affects replication timing and how the process is affected by the dynamics of activation factors.

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.


Contact

For more information please contact J. Lygeros and M. Rapsomaniki.


References

[1] E. Cinquemani, V. Roukos, Z. Lygerou, and L. Lygeros,
“Numerical analysis of FRAP experiments for DNA replication and repair,” in IEEE Conference on Decision and Control, Cancun, Mexico, December 9-11, 2008.
[2] M. Rapsomaniki, E. Cinquemani, N. Giakoumakis, P. Kotsantis, J. Lygeros, and Z. Lygerou,
“Inference of protein kinetics by stochastic modeling and simulation of fuorescence recovery after photobleaching experiments,” Bioinformatics 31(3) 355-362, 2015.
[3] J. Lygeros, K. Koutroumpas, S. Dimopoulos, I. Legouras, P. Kouretas, C. Heichinger, P. Nurse, and Z. Lygerou,
“Stochastic hybrid modeling of DNA replication across a complete genome,” Proceedings of the National Academy of Sciences of the U.S.A., vol. 105, pp. 12295-12300, August 2008.


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