Master’s student position: Machine learning with photonic neural networks

Ref. 2019-07

Project description

Schematic of all optical  neural network based on Si photonic delay lines (black spirals) and integrated  optical weights Artificial intelligence (AI) is the ability to perform tasks that are generally associated with intelligent beings. Recently, bio- and neuro-inspired (neuromorphic) algorithms have attracted considerable attention with their ability to extract structure and knowledge from huge unstructured data sets. To execute these new algorithms efficiently at the large scale required in datacenters or, for example, to interpret sensor data locally in embedded, very low-power devices, we need novel neuromorphic compute architectures and hardware.

At IBM Research – Zurich, the Neuromorphic Devices & Systems group is working on implementing a neural network based on integrated silicon photonic technology. We recently developed integrated, multi-level optical synaptic elements that will be embedded in an all-optical neural network (see image). Before we can do that, however, we need a better understanding of the electro-optic properties of these synaptic elements.

Scope of this Master’s thesis

Electro-optical  characterization setup. We will adapt the focus of the thesis based on your interests. Possible topics include:

  • Characterization of weighting elements: Measurement of device transmission. Set up and perform electro-optical measurements and analyze your measurement results.
  • Design an interface between hardware and software to control multiple weighting elements in parallel. This involves programming of microcontrollers or FPGAs.
  • Device and system simulations.
  • High-speed electro-optical measurements.

Your profile

We are seeking a candidate with a strong interest in integrated optics. Prior experience in microcontroller programming, object-oriented programming and/or optical characterization is a plus. You should be enrolled as a student at ETH Zurich. For this project you should be available for a period of at least 6 months starting in spring 2019.

About IBM Research – Zurich

Scientists at IBM Research – Zurich have made major contributions to the advancement of knowledge in solid-state physics inspired by problems relevant to technology. Today’s research focuses on different areas of technological significance, such as photonics and optoelectronics, CMOS and post-CMOS, microfabrication, packaging and life sciences. These efforts are supported by the Binnig and Rohrer Nanotechnology Center, which offers in-house, state-of-the-art microfabrication capabilities.

With more than 100 students and young researchers (Master’s, PhDs, post-docs), our laboratory offers a dynamic and international environment for excellent science and provides a unique opportunity to extend your research skills. The laboratory equipment for the project defined in this Master’s thesis is state-of-the-art, and will allow the successful candidate to perform novel and exciting experiments.

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 the project or if you want to know more about our work, please contact:
, Research Staff Member, Neuromorphic Devices & Systems.

Software engineer/­Research Staff Member/­Post-doctoral researcher (multiple positions): Distributed systems and blockchain

Ref. 2019-06

Project description

We are researching and developing scalable, fault-tolerant and secure distributed and blockchain systems that drive a new generation of financial and digital transactions. We are looking for highly motivated and enthusiastic software engineers and distributed systems researchers to join the Industry Platforms and Blockchain group at IBM Research – Zurich. You will be expected to contribute to the architecture definition and implementation in our blockchain projects, notably their aspects pertaining to distributed systems. You will be able to contribute directly and make an impact not only on IBM products, but also on the Hyperledger Fabric open-source project. The researchers in the group have deep expertise and knowledge in scalable, fault-tolerant and secure distributed systems. Software to be developed will be included in critical production systems and is expected to be of high quality, modularity, maintainability, scalability, and resilience.

Candidates with a PhD degree and a strong research publication record in the fields of distributed systems/distributed databases, and who are willing to implement real systems are strongly encouraged to apply. Such exceptional candidates can be considered for a post-doctoral or a Research Staff Member role, depending on experience and career accomplishments.

Requirements

Candidates are expected to have the following background and interests

  • Degree in Computer Science, Software Engineering, Software Architecture, or equivalent.
  • At least three years of experience in software-related positions (building systems in the scope of a graduate degree counts towards these three years).
  • Experience in distributed and parallel systems and large software architectures.
  • Basic understanding of one or more of the following protocols/systems: Paxos, Raft, ZooKeeper, etcd, Consul.
  • Proficient in at least two of the following programming languages: Golang, C, C++, Java.
  • Experience with standard engineering and coding practices.
  • Pragmatic “get it done” attitude.
  • Capable of participating actively in brainstorming sessions in multi-disciplinary teams. Ability to propose, defend, and critique ideas.
  • Ability to conduct independent work and to work in a team as required by the task at hand; willingness to assume responsibility.
  • Excellent verbal English communication skills.
  • Eagerness to learn independently about the subject area(s) of the project(s) and underlying distributed systems technologies.

In addition, the following skills are required for post-doctoral / Research Staff Member roles:

  • PhD in distributed systems/­distributed databases.
  • Solid background in security and networking.
  • Strong research publication record.

Finally, one or more of the following skills are desirable, but not necessarily required:

  • Hands-on knowledge of and experience with Hyperledger Fabric.
  • Experience deploying and evaluating the performance of (large-scale) distributed systems.
  • Deep understanding of designing protocols/­systems such as Paxos, Raft, ZooKeeper, etcd, Consul, PBFT.
  • Experience with modern hardware accelerators such as FPGA and RDMA.
  • Background in game theory and economics.
  • Knowledge of proof-of-work blockchains (Bitcoin, Ethereum).
  • Experience with open-source development.
  • Proficiency, familiarity and/or experience with additional programming languages.

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 references

HR Business Partner
IBM Research – Zurich
Säumerstrasse 4
8803 Rüschlikon Switzerland

For technical information, please contact:
, Research Staff Member, Industry Solutions and Blockchain.

Software engineer: Industry solutions and blockchain

Ref. 2019-05

Project description

The Industry Solutions and Blockchain group is active both in developing key technologies that ship with IBM products and in maintaining a strong academic research profile and has a dual focus on blockchain and on system security. In particular, the group is part of the core team that designs and develops Hyperledger Fabric, the popular open source blockchain platform.

This is an excellent opportunity for highly qualified and creative candidates with an ambition to work with an international team of researchers in a world-class industrial research organization.

Requirements

Candidates are expected to have the following background and interests

  • A Master’s degree in Computer Science or a closely related discipline
  • Strong knowledge of programming languages (in particular C/C++, and optionally golang, bash, python)
  • Strong skills and experience in system-level programming, large distributed systems, and optionally blockchain
  • Experience with open source projects and a strong understanding of DevOps
  • Ability to manage multiple and changing priorities
  • Fluency in English.
The position is available immediately. The successful candidate will enjoy an internationally competitive salary and work in a collaborative and creative group in an exclusive research environment.

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 references to

HR Business Partner
IBM Research – Zurich
Säumerstrasse 4
8803 Rüschlikon Switzerland

For technical information, please contact:
, Manager Industry Solutions and Blockchain.

Materialwirtschaft mit technischem Hintergrund, 80–100 %

Ref. 2019-04

Für unsere Abteilung Site Operations, welche verschiedenste Dienstleistungen für unsere Forschungs-Mitarbeitende erbringen, suchen wir eine/n

MitarbeiterIn Materialwirtschaft mit technischem Hintergrund, 80–100 %

Ihre Aufgaben

  • Verantwortlich für das technische Handlager und Büromaterial sowie deren Beschaffung
  • Verantwortlich für die Waren-Anlieferung/-Eingangskontrolle aller Produkte des gesamten Forschungslabors inklusive der Gasanlieferung
  • Verbuchung aller Wareneingänge im Auftrags-Verarbeitungs-System und weiteren damit verbundenen Aufgaben
  • Verantwortlich für die Beschaffung von Verpackungsmaterial
  • Sie sind innerhalb vom Forschungslabor die Drehscheibe für den Warenfluss und mit Ihren technischen und elektrotechnischen Kenntnissen können Sie die Forscher bei der Materialausgabe unterstützen/beraten.

In dieser Drehscheiben-Funktion sind Sie das Bindeglied in der physischen Materialversorgung für den gesamten Forschungs-Betrieb und arbeiten eng mit der Post-/Versand-Mitarbeiterin sowie mit der Einkaufsabteilung zusammen.

Ihr Profil

  • Sie verfügen über einen technischen Berufsabschluss
  • Sie sind kaufmännischen Aufgaben (Datenerfassungen) gegenüber aufgeschlossen
  • Sie bringen berufliche Erfahrungen in einer ähnlichen Funktion mit
  • Sie bringen grosse Selbständigkeit mit und setzen Ihre hohen Fach- und Sozialkompetenzen geschickt ein
  • Sie verfügen über gute IT-Kenntnisse in MS-Office
  • Sie sind deutscher Muttersprache und besitzen gute Englischkenntnisse
  • Sie arbeiten exakt und prozessorientiert.

Sie sind eine kommunikative, teamorientierte Persönlichkeit mit technischem Fachwissen. Mit Ihrer dienstleistungsorientierten Art sind Sie sich gewohnt, genau und zuverlässig zu arbeiten. Wenn Sie sich von dieser vielseitigen Aufgabe in einem kleinen, kollegialen Team angesprochen fühlen, freuen wir uns auf Ihre vollständigen Bewerbungsunterlagen.

Diversity

IBM ist dem Diversity-Gedanken verpflichtet. Bei uns finden Sie ein offenes, multikulturelles Umfeld. Flexible Rahmenbedingungen ermöglichen Frauen und Männern, ihre berufliche Entwicklung auf ihr persönliches Umfeld abzustimmen.

Bewerbung

Wir freuen uns auf Ihre vollständigen Bewerbungsunterlagen per e-Mail an: Human Resources.
Wir berücksichtigen ausschliesslich direkte Bewerbungen. Bewerbungen über Stellenvermittler werden nicht berücksichtigt.

IBM Research – Zurich
Csilla Bohnhoff
Säumerstrasse 4
8803 Rüschlikon

Master’s student position: Quantized heat transport through atoms and molecules

Ref. 2019-03

Project description

Heat dissipation in nano- and molecular electronic devices is one of the main limiting factors to improving their performance. Understanding and controlling energy transport at the molecular scale is of fundamental importance to realize molecular and in general novel electronic devices. For instance, whereas good thermal conductors are needed in electronic applications to remove dissipated heat, poor thermal conductors are suited for thermoelectric devices. Experiments are required to validate existing theoretical physical models and to gain insight into the structure–property relationship at the molecular scale. For these reasons, we are currently developing a new experimental setup based on a custom UHV scanning tunnelling microscope located in the IBM noise-free labs.

The Master’s thesis project focuses on measuring heat and charge transport in molecular and atomic junctions. The candidate will have the opportunity to deal with several aspects of the experimental work from sample preparation to instrument control and data analysis.

The first part of the project includes measuring molecular thermal/electrical conductance, Seebeck and Peltier effects. The candidate will also be involved in developing a new variable-temperature STM setup.

The candidate will join the Material Integration and Nanoscale Devices group at IBM Research – Zurich, and will be directly supervised by Dr. Bernd Gotsmann in collaboration with PhD student Andrea Gemma.

Please note that this Master’s thesis research project at IBM provides an opportunity to carry out your thesis in a world-class research environment, but it is not funded. Therefore, this opportunity is mainly targeted at students enrolled at ETH Zurich who are already based in the area.

Requirements

Applicants are expected to pursue a Master’s degree in Engineering, Electrical Engineering, Physics or Nanoscience and have the following background:

  • Experience with cleanroom processes, data analysis and simulation would be a plus
  • Good English communication skills
  • Highly motivated, creative and independent.

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 application to .

heat transport      heat transport

Master’s student position: Image-based materials defect classification using machine learning algorithms

Ref. 2019-02

Project description

Defective (left) and non-defective (right) III-V crystalline layer
Defective (left) and non-defective (right)
III–V crystalline layer
In the world of nanoscale electronics and photonics, material defects can be detrimental to device performance. However, some defects can also enhance certain properties, whence the need to accurately characterize materials grown in our laboratory.

In the Material Integration and Nanoscale Devices group at IBM Research – Zurich, we are more specifically focusing on the growth of new materials analyzed by transmission electron microscopy (TEM). Obtaining high-resolution images allows any crystalline defect to be detected and identified at the nanoscale level. However, this requires substantial manual work and experience. In that respect, we believe that machine learning could be a key enabler to classify defects accurately and, in turn, allow a better understanding of how they form and impact the fabricated devices. Furthermore, such AI-based assistance systems will permit us to classify a much larger number of TEM images than what is possible with the current manual classification by experts.

Our multidisciplinary teams at IBM Research – Zurich are developing new materials as well as computational techniques that extract, quantify and classify visual patterns that differentiate between high-performance and defective devices.

In collaboration with the imaging team at IBM Research – Zurich, the goal of the proposed master project is to combine image processing, pattern recognition, deep learning and material domain expertise to develop a classifier that ingests high-resolution TEM images, learns to recognize defective from non-defective crystalline areas and, at a latter stage, is also able to distinguish among the defects.

The Master student project will focus on:

  1. Generating TEM images of defects in III–V materials
  2. Developing and testing a classification framework of computational defects
  3. Determining appropriate material growth conditions for high-performance nanoscale devices.

The minimum duration for this Master’s thesis research is 6 months.

Please note that this Master’s thesis research project at IBM provides an opportunity to carry out your thesis in a world-class research environment, but it is not funded. The student should preferably already be enrolled in a Swiss educational institute such as ETHZ.

Requirements

We are looking for a highly motivated, creative and independent student ofComputer Science or Electrical Engineering who has a good background in image processing, pattern recognition and deep learning. Additional knowledge of materials science will be an advantage.

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 application to .

PhD student position: Quantum transport

Ref. 2019-01

Project description

quantumWe are looking for highly motivated candidates for PhD work on topological states of matter. The research position is of experimental nature and involves fundamental materials science and physics studies including the design and fabrication of nanoscale devices and their electrical characterization at low temperature. Emphasis will be put on the realization of quantum topological excitations in novel superconductor/­semiconductor hybrid devices and their applications. These novel states of matter have recently attracted significant interest because they are considered ideal building blocks for fault-tolerant quantum computers. The nanofabrication work will exploit the capabilities of our fully equipped state-of-the-art cleanroom in the Binnig and Rohrer Nanotechnology Center. Research will be conducted in a collaborative and creative group, and in a lively research environment.

Requirements

Applicants are expected to hold a Master’s degree in Physics, Electronic Engineering or a similar discipline. We also require a strong background in quantum physics, solid-state physics as well as a good knowledge of electronics, computer programming and nanometer-scale science and engineering. The ideal candidate is very talented, creative, with good communication and scientific writing skills, and willing to work in an international, multidisciplinary team.

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

This position is available starting from March 2019 or a later date. To apply for the position, please send your CV including transcripts and the names of two references by email to by 1 February 2019.

Work-study student: THINKLab (40–50%)

Ref. 2018-46

Project description

THINKLabThe 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.

Would you like to be part of this journey?

Your tasks and projects may include

  • Helping to enhance the visibility of the THINKLab and its offerings to existing and new internal and external customers to generate high-profile visits and workshops
  • Supporting the execution of the THINKLab’s communications activities
  • Supporting major events and activities, including content preparation and communication
  • Liaising with the European IBM Client Center Network
  • Generating regular highlight stories about the THINKLab in internal media such as Connections, Communities and blogs
  • Producing quarterly YouTube videos and webinars

THINKLabThis position is available from 1 March 2019 for a duration of two years or until the end of studies.

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

Requirements

  • Bachelor or Master student in Business Informatics, Economics, Communications or similar subjects
  • Very strong communication skills in both English and German (written and spoken)
  • Interest in information technology, science and research

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 complete applications documents by email to

HR Business Partner
IBM Research GmbH
Säumerstrasse 4
8803 Rüschlikon

Post-doctoral researcher / PhD student positions: Fabrication and characterization of exploratory devices

Ref. 2018-45

Project description

Nanoscale fabricationWe are looking for highly motivated researchers (PhD students and post-docs) for our activities in the characterization and fabrication of devices for future computing applications using novel materials and effects. In a European Union project, our group at IBM Research – Zurich together with the groups of Dr. A. Grushin (Institut Neel, Grenoble) and Dr. J. Gooth (Max Planck Institute for Chemical Physics of Solids, Dresden) aims to develop novel device concepts and integration strategies of Weyl semimetals into electronic devices. Weyl physics has recently become a fascinating area of research predicting unexpected and extraordinary transport properties. The transition into devices and engineering prototypes, however, is yet to be made.

Nanoscale fabricationThe project covers the entire range from fundamental materials science and physics studies of both theory and experiment, to device engineering with design, fabrication and characterization. At IBM Research, we are specifically looking for support in exploring materials growth and microfabrication techniques as well as low-level thermal and electrical transport measurements. The microfabrication work will exploit the capabilities of our fully equipped, state-of-the-art clean room in the Binnig and Rohrer Nanotechnology Center for sample fabrication and a spectrum of characterization tools. Fundamental transport measurements of heat and charge are aimed at identifying transport properties related to the topological protection of chirality of the charge carriers. For this, measurement labs are available including IBM’s unique noisefree labs.

The successful candidate will have access to state-of-the-art laboratories and participate in a collaborative and creative group in a lively research environment.

Requirements

Applicants are expected to hold a PhD or a Master’s degree in Physics or Engineering with a strong background in nanometer-scale physics. The ideal candidate is very talented, creative, motivated, has excellent communication skills and is open to working in an international, multidisciplinary team.

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 and you fulfill the requirements, please send your complete curriculum vitae and the names of three references by email to .
More info Profile Dr. Bernd Gotsmann

PhD student position: Nonlinear photonics

Ref. 2018-44

Project description

We are seeking a highly motivated candidate for a PhD position in the project MICROCOMB – “Applications and Fundamentals of Microresonator Frequency Combs”, a Marie Skłodowska-Curie Innovative Training Network funded by the European Union.

IBM has developed technology to fabricate devices made of high-quality, epitaxially-grown gallium phosphide (GaP) on low-refractive-index substrates. Using this new platform for integrated photonics, the PhD student will explore Kerr frequency comb formation in GaP microresonators and investigate the formation of temporal dissipative solitons to generate ultrashort pulses from a continuous-wave laser. The work involves simulation, design, and fabrication of highly miniaturized photonic devices, laser-based optical characterization, and high-speed electronic measurements. 

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

Master’s thesis: Cryogenic measurements and modeling of electrical devices

Ref. 2018-43

Project description

Liquid helium cryostat There is a growing need for electronics operating at cryogenic temperatures 4 K and below. Applications include space astronomy, physics experiments and, not least, quantum computers. Electronic circuits and devices such as amplifiers are cooled either for latency reasons, by facilitating tight integration with other circuitry, or to reduce the noise level they generate. There is thus a need to understand how the behavior and characteristics of such circuits and devices change as they are cooled to cryogenic temperatures. Not only can this help us design efficient electronics by predicting impedances and performance, but we may also find novel ways of using this change in behavior to our advantage.

In this Master’s thesis project, the aim is to examine the behavior of electrical devices, transistors and circuits as they are cooled to cryogenic temperatures. The project includes the following key elements:

  • Electrical measurements at cryogenic temperature, 4 K and above, of our inhouse transistor technology
  • Modeling of electrical behavior to understand the unique effects present at these temperatures
  • Both DC and high-frequency measurements

The Materials Integration and Nanoscale Devices (MIND) group has extensive experience in nanoelectronics research as well as cryogenic measurements, providing a strong infrastructure for a successful research project. The project is available immediately for a minimum duration of six months in a collaborative group at the IBM Research – Zurich laboratory.

Please note: This is a non-remunerated M.Sc. thesis project, not a funded position.

Requirements

  • Applicants are expected to pursue a Master’s degree in Engineering, Electrical Engineering, Physics or Nanoscience
  • Must be enrolled as a Master’s student at ETH Zurich
  • Experience with simulation or modeling would be a plus
  • Excellent English communication skills
  • Highly motivated, creative and independent.

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 please send an application including CV, cover letter and academic transcript to: .

Software Engineer

Ref. 2018-41

Environment

We are looking for an experienced and highly motivated software engineer to join the Cognitive Computing & Industry Solutions department at IBM Research – Zurich. Software engineers contribute to the architecture definition and implementation of our projects, which cover diverse subject areas, e.g., healthcare, medical image processing and systems biology. In the context of these projects, we use — and very often develop — novel tools for cognitive systems in areas including natural language processing (NLP), machine learning (ML) and knowledge representation (KR). The department has a large group of scientists and researchers with deep expertise and knowledge in these areas, who work together with our software engineers to develop prototype and production systems. Given that such results are frequently developed with (or for) industry partners, software quality, modularity, maintainability, scalability, security, and resilience are of paramount importance in the development process.

Software engineer role

We are looking for a software engineer for overall software design and implementation. This position requires someone with a strong personal drive and a hands-on attitude to analyzing requirements and potential solutions, discussing alternatives with the team, then leading the implementation and organizing the work so it can be distributed judiciously and executed among the team members. The successful candidate will also make a significant contribution to the implementation work and be responsible for tools and infrastructure used by the team in developing the solution.

Required skills

Candidates applying for this position should fulfill the following requirements:

  • Degree in Computer Science, Software Engineering, Software Architecture, or equivalent.
  • At least two years of industry experience in software-related positions.
  • Experience in applying standard software development methodologies.
  • A strong working knowledge of standard DevOps technologies such as GIT/CI/Docker is essential.
  • Ability to design a software architecture that achieves the goals of the project without overdoing it.
  • Full-stack development profile (web, database, server components).
  • Experience in testing, debugging, issue tracking and overall quality management.
  • Ability to document the system and set documentation guidelines for the team.
  • Ability to set up and maintain the infrastructure (HW, VMs) and tools required for the project.
  • Experience in working with customers to develop requirements and discuss technical aspects of the project.
  • Strong verbal and written communication skills in English.

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 application documents by email to , Human Resources. Besides your CV, we kindly ask you to describe in your cover letter how you fulfill the position requirements. Please also indicate which other additional skills you possess that you consider relevant to the application process.

Research Staff Member / Post-doctoral researcher: Machine learning & AI explainability

Ref. 2018-19

About the position

The AI for Industries group at IBM Research – Zurich is working on cutting-edge AI research and applications to transform businesses across industries. We are working on deep-learning methods for predictive analytics and on explaining our predictions. We are looking for a person to join our effort on explainable AI and deep neural networks. The type of position (post-doctoral research or Research Staff Member) will depend on the person’s expertise.

The successful candidate is passionate about advancing science and creating the next generation of AI solutions. The person will have the opportunity to work in a collaborative and creative group, and participate in high-impact projects for large-scale, real-world industrial problems.

Required expertise

  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or related technical fields
  • Strong programming skills in Python
  • Experience with standard machine-learning techniques and frameworks, including but not limited to TensorFlow, Keras, scikit-learn or PyTorch
  • Experience in working with time and event series data
  • Ability to conduct independent research
  • Excellent communication and team skills
  • Strong publication record in venues such as AAAI, ICLR, ICML, IJCAI, NIPS.

Desired expertise

  • Knowledge of big-data processing frameworks (e.g., Spark stack)
  • Knowledge of Scala programming language.

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, please send your complete CV, including a list of publications and skills, as well as contact information for three references to:

PhD student position: H2020 HELICAL consortium

Ref. 2018-39

About the position

A PhD research position is available at IBM Research – Zurich Laboratory as a part of the H2020 HELICAL consortium, which is focused on understanding rare autoimmune diseases.

Background

Humans are affected by approximately 100 distinct autoimmune diseases, which are caused by a breakdown in immune tolerance to self-antigens. In recent years, large amounts genomic, epigenetic, transcriptomic and clinical datasets, as well as environmental and epidemiological datasets from patients with chronic diseases have been produced and archived. Advances in information science and artificial intelligence provide unprecedented opportunities for using these datasets to elucidate the complex biology of these disorders, how they are influenced by environmental triggers, and how to personalize their management. HELICAL is an Innovative Training Network (ITN) that will focus on autoimmune vasculitis, a rare autoimmune disease, and will apply informatics to such datasets to gain new biological insights and translate new biological insight into practical clinical outputs.

Clinical challenge

The key clinical challenge in caring for people with vasculitis is balancing immune system inhibition, which is required to control the disease, against over-suppression, which can lead to a risk of death and morbidity from infection or cancer. Standard therapeutic approaches are associated with severe adverse events, such cataracts, osteoporosis, infection, diabetes, hypertension and accelerated cardiovascular disease. HELICAL will depart from the current state of the art and foster a precision-medicine approach to vasculitis by developing tools that can identify and predict disease flares, inform clinicians about opportunities to discontinue immunosuppressive medication, and identify therapeutic strategies that target relevant components of the immune system and blood vessel walls, leaving intact the immune system’s ability to fight infection and malignancy.

Data challenge

The successful candidate will develop machine learning and artificial intelligence methods to analyze data from autoimmune vasculitis patients. A computational challenge in the analysis of rare diseases is the high heterogeneity of data sources, where datasets are generated by different studies and techniques, have different data structures and, frequently, are missing data. In addition, there is a need to develop solutions that can ingest, process in real time and present these data in a readily usable format. The student will explore data fusion methodologies in the “small n, big p” domain, and develop prototype machine learning solutions to predict vasculitis flares using diverse multi-dimensional environmental, clinical and app-based data, as well as molecular data from patients.

Requirements

  • Strong background in Physics, Mathematics, Computer Science or similar.
  • Strong background in artificial intelligence, machine learning and/or deep learning.
  • Working knowledge of statistics and mathematical modeling.
  • Working knowledge of Python, C or C++.

In addition, experience in systems biology or systems medicine would be helpful, but not essential.

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, please send an application including CV and reference letters to


Research Staff Member
IBM Research – Zurich

Post-doctoral researchers: Systems for large-scale machine learning

Ref. 2018-37

About the position

The Cloud Storage and Analytics team at IBM Research – Zurich is conducting state-of-the-art research related to systems for large-scale machine learning. Our work includes design, optimization, and implementation of systems and frameworks for high-performance machine learning in scale-out and cloud environments. The group is working at the intersection of cloud systems and machine learning research, with expertise on fast storage, network, and distributed systems as well as on algorithm design for machine learning. The team has a track record of direct impact on the IBM public Cloud, including a data-storage service that is optimized for nonvolatile storage, as well as a service that accelerates popular ML models on modern CPU/GPU computing systems

We are seeking outstanding post-doctoral researchers to contribute to the above research topics.

Requirements

Candidates are expected to have the following background and interests

  • PhD in Computer Science, Applied Mathematics or a related field
  • Excellent programming skills (C++, Python, C)
  • Strong distributed systems and operating systems background
  • Practical experience with machine-learning frameworks
  • Experience with cloud environments, continuous integration frameworks, and adherence to coding standards
  • Proven track record of conducting independent research
  • Self-motivated and passionate about problem-solving
  • Excellent written and oral communication and teamwork skills

Positions are available immediately for a duration of 18 months. The successful candidates will enjoy an internationally competitive salary and work in a collaborative and creative group in an exclusive research environment.

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

Candidates with the background and interests listed above are encouraged to send their CV including publication list and references to:


HR Partner
IBM Research – Zurich
Säumerstrasse 4
8803 Rüschlikon
Switzerland

Research Staff Member / Post-doctoral researcher: Cryptography

Ref. 2018-32

About the position

We are seeking to fill several Research Staff Member (RSM) and post-doctoral researcher positions at IBM Research – Zurich in the area of cryptography and privacy.

Particular topics of interest include, but are not limited to

  • Verifiable computing and zero-knowledge proofs
  • Foundations & solutions for real-world cryptography
  • Privacy-enhancing technologies

The cryptography and privacy group at IBM Research – Zurich offers an exciting research environment with the ability to cooperate with researchers working on various aspects of security and cryptography, including lattice-based cryptography, provably secure protocol design, blockchain, and system security.

Cooperation with other academic and industry researchers within IBM as well as acquisition of external research funding, e.g., European grants (including the ERC) is also possible and encouraged.

The positions offer the opportunity to live in the Zurich area, which is consistently ranked as one of the top five cities with the best quality of life.

Requirements

Candidates for both types of openings are required to have a PhD in Computer Science, Mathematics, or related area by the time of appointment and an outstanding research record, demonstrated in the form of publications at top cryptography or security conferences (Crypto, Eurocrypt, CCS, S&P etc.).

The ideal applicant for an RSM position is someone with a demonstrated ability to perform top-notch independent work, and who is also keen on pursuing joint research directions with the current members of the group. The possibility of establishing one’s own research team, including PhD students and post-docs, would also be supported.

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

For informal enquiries, please contact or .

To apply, please send your CV, including contact information for three references, to . Review of applications will begin in mid-September and continue until the positions are filled. Ideally, the successful applicants would start at the beginning of 2019, but other arrangements can be negotiated.

Post-doctoral researcher: Quantum computing

Ref. 2018-29

About the position

IBM Research – Zurich is seeking a candidate to work as a post-doctoral researcher on experimental quantum computing and simulation with superconducting quantum circuits in the Quantum Technologies group. The focus of the work will be on the development of technologies for scaling superconducting qubit quantum computing architectures towards practical systems. We are looking for a person eager to design, fabricate and test circuits for scalable integrated qubit chips or to develop advanced qubit control and calibration methods. The work will be carried out as part of the IBM Q quantum program and European Quantum Technology projects. The successful candidate will work within a growing international research team in close collaboration with leading players in the quantum computing community.

Requirements

Candidates applying for this position are expected to hold a PhD degree in physics or engineering with a solid background in quantum information processing with superconducting circuits. Applicants at an earlier career stage with a proven skill set relevant to the project may be considered as well. She/he should have either proven experience in performing experiments with superconducting qubit devices including skills in control and measurement automation or expertise in micro- and nanofabrication technologies for scalable systems operating at microwave frequencies and cryogenic temperatures. Ideally, this is paired with expertise in the design and simulation of superconducting microwave circuit.

In addition, the following skills are highly desired:

  • Expertise in microwave engineering and the use of microwave simulation tools such as Ansys HFSS.
  • Experience in cryogenics and the operation of dilution refrigerators.
  • Proficiency in coding (preferably in Python).
  • Ability to conduct independent work and assume responsibility as part of a larger team.
  • Capability and eagerness to learn independently about new subject area(s) and underlying technologies.
  • Strong communication and writing skills.

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 application documents including your CV, a publication list, relevant transcripts and a brief cover letter explaining your motivation in a single PDF file. Please also provide for a reference letter sent directly to the email stated above as well as the name of two further references. This position is available immediately. Applications will be taken into further consideration until the position is filled. Candidates are invited to send their application documents to


Technical Leader Quantum Computing
IBM Research – Zurich

Post-doctoral researcher: CMOS circuits

Ref. 2018-28

About the position

Custom-designed CMOS circuits and dedicated hardware solutions will be required in order to fully exploit the performance of novel computing and communications systems. Scientists at the IBM Research – Zurich Lab are working on several aspects in the fields of computing infrastructure and CMOS technology.

We are expanding our team working on analog and high-speed mixed signal circuits, which is designing and testing power-optimized 7-nm and 14-nm CMOS circuits and is engaged in the development of future device technologies. In the high-speed I/O group, there is an opening for a post-doctoral researcher whose main responsibility is to investigate, design and demonstrate novel CMOS circuits.

Tasks to be performed include

  • Innovative circuit and system solutions for advanced analog-to-digital and digital-to-analog converters, digital signal synthesis and analysis, and protocol processing, using state-of-the-art simulation tools,
  • Circuit characterization and measurement in the laboratory,
  • CMOS device measurements and modelling  at low temperatures,
  • Embedding the dedicated circuits into research systems to demonstrate their functionalities.

Requirements

Candidates are expected to have the following background and interests:

  • CMOS analog/mixed-mode circuit design,
  • Experience with EDA tools such as Cadence, Synopsys and Mentor,
  • Experience with analog and RF measurements,
  • Preferably some experience in CMOS device characterization  and modelling,
  • Preferably some experience in microwave signal processing,
  • Basic programming skills (C, Python, etc.).

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

Candidates with the background and interests listed above are encouraged to send their CV including publication list and references to:


HR Partner
IBM Research – Zurich
Säumerstrasse 4
8803 Rüschlikon
Switzerland

Post-doctoral researcher: Quantum optimization

Ref. 2018-27

About the position

A post-doctoral researcher position is available at IBM Research – Zurich in the Quantum Technologies group. Quantum computers have the potential to solve certain problems more efficiently than classical computers. In recent years, research on quantum computing hardware has made significant progress, and first devices are now accessible to the public through the cloud. Therefore, studying applications of quantum computers is becoming increasingly important to leverage their full potential once more powerful machines are available. In that respect, it is crucial to understand the timeline to quantum advantage and business impact. Our group is developing and analyzing new quantum algorithms for a wide range of applications, such as optimization and machine-learning algorithms for finance or supply-chain management.

Project

The focus of this project is on the development and analysis of new quantum algorithms for optimization and machine learning. Additionally, an emphasis will be on finding possible applications relevant in practice, for instance in the financial service sector, such as risk analysis or portfolio optimization. The goal is not only to develop the algorithms, but also implement and test them both via simulation and on real quantum hardware.

Starting date

The position will open immediately for a duration of two years and with the possibility of an extension.

Requirements

The position requires a PhD in Mathematics, Physics or related fields. The candidate must have profound knowledge of optimization, machine learning and quantum computing, as well as broad expertise in coding (preferably in Python) and strong communication and writing skills.

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

Candidates are invited to send their application including a CV and corresponding reference letters to:


Technical Leader – Quantum Optimization
IBM Research – Zurich

Post-doctoral researcher: Computer vision

Ref. 2018-26

About the position

Our Computer Vision for AI team is working on cutting-edge research and applications that have a strong impact on the business of IBM and its clients. Focal areas span spatial scene understanding in the context of augmented reality and robotics applications and figure and diagram understanding in the context of document analysis. Our philosophy is to combine classic model-based techniques, for which a strong theoretical foundation exists, with highly experimental deep-learning approaches.

Qualifications

  • PhD in Computer Science, Computer Vision, Robotics or a related field
  • Strong programming skills in C/C++ and Python
  • Strong theoretical understanding of classical computer vision techniques and deep-learning architectures
  • Proven track record of conducting independent research
  • Practical experience with deep-learning frameworks
  • Excellent communication and teamwork skills
  • Experience with continuous integration frameworks and adherence to coding standards.

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 complete CV, including a list of publications and skills, as well as contact information for three references to


IBM Research – Zurich
Säumerstrasse 4
8803 Rüschlikon
Switzerland

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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