Post-Doc researcher: Foundations of Cognitive Solutions

Ref. 2016-18


Project description

We have an opening for a post-doctoral research position in our Foundations of Cognitive Solutions group.

The opening is in the context of the IBM Watson ecosystem with a focus on large-scale, cloud-related aspects of visual scene segmentation, object recognition and semantic mapping. The successful candidate will research and implement novel efficient methods for semantic data representation as well as data processing to aid machine cognition and human–machine interaction.


Requirements

The ideal candidate has a degree in Robotics (including Computer Science, Electrical Engineering, or similar fields), with a track record in simultaneous localization and mapping (SLAM) as well as computer vision related to robotics.

The ideal candidate demonstrates strong programming skills (C++; familiarity with relevant libraries and toolboxes such as ROS, OpenCV, etc), the ability to conduct independent research, to work in a team and to assume responsibility.


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 your application including CV and cover letter to

Dr. Martin Rufli

+41 44 724 8714

Applicant review will begin immediately.

Chemiekoordinator/-in 100% (Chemielaborant/-in / Chemiker-/in FH)

Ref. 2016-17


Die Abteilung Integrated Health & Environmental Services ist ein integraler Bestandteil unseres Forschungsbetriebs und hat die Aufgabe, verschiedenste Dienstleistungen für die Mitarbeitenden des Forschungslabors Rüschlikon zu erbringen.

Zur Verstärkung unseres kleinen, gut eingespielten Teams suchen wir eine/n

Chemiekoordinator/-in 100% (Chemielaborant/-in / Chemiker-/in FH)

für folgenden Aufgabenbereich:

  • Gesamte Chemieverwaltung (Bestellung, Registrierung, Ausgabe von Chemikalien, Inventarisierung, Entsorgung)
  • Verwaltung und Betreuung von Laborgeräten und Materialien
  • Verantwortlich für die Chemieabwasser-Neutralisationsanlage
  • Protokollführung bei Labor-Sicherheitschecks und Auswertung/Berichtverfassung
  • Dokumentenverwaltung im Umwelt- und Arbeitssicherheitsbereich (ISO 14001 und OHSAS 18001)
  • Auswertung von erfassten Umweltzahlen und Verfassung von entsprechenden Berichten
  • Überprüfung der Einhaltung von gesetzlichen und internen Vorschriften
  • Schulung von Mitarbeitenden

Anforderungsprofil

  • mindestens 5 Jahre Laborerfahrung
  • gute Englischkenntnisse, versiert im Umgang mit MS Office und mit Datenbanken
  • Freude am Umgang mit Menschen, offene, verantwortungsbewusste und belastbare Persönlichkeit
  • Von Vorteil sind zudem gute Kenntnisse von Management-Systemen (ISO 14001, OHSAS 18001)

Unsererseits bieten wir Ihnen eine abwechslungsreiche und selbständige Tätigkeit.

Diversity

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


Wir freuen uns auf Ihre vollständigen Bewerbungsunterlagen. Wir berücksichtigen ausschliesslich direkte Bewerbungen. Bewerbungen über Stellenvermittler werden nicht berücksichtigt.

Csilla Bohnhoff
Human Resources
IBM Research – Zurich
Säumerstrasse 4
8803 Rüschlikon

3 PhD positions: NeMeCo - Near-memory computing - Scaling big-data processing into the next decade

Ref. 2016-16


Project description

The emerging knowledge economy relies increasingly on big-data applications to extract value out of huge amounts of data by searching for correlations that can be used to predict business trends, find the best medical treatment for diseases, perform financial risk management, determine the best locations to drill for oil and gas, fight crime, and for many other purposes. Big-data applications are very different from traditional workloads and put extremely high demands on the High Performance Computing (HPC) systems that are used to execute them.

One of the key challenges in designing new generations of HPC systems that can keep up with the ever-growing data volumes, is that current technological trends prevent large amounts of data to be transferred at acceptable power dissipation costs. Reducing expensive data transfers by “bringing computation closer to the data”, also known as near-memory computing, has emerged as a very promising solution to address this scaling issue in HPC systems in order to realize the Exascale computing systems that are required for handling future Big-data workloads. Near-memory computing, however, is still in its infancy, and many challenges have to be addressed before it can be established as an integral component of HPC systems.

NeMeCo is an ambitious Marie Skłodowska-Curie European Industrial Doctorates (EID) Innovative Training Network (ITN) programme, which addresses several of the above challenges. In particular, NeMeCo is an interdisciplinary training and research project aimed at developing power-efficient HPC systems for Big-data processing based on the exploitation of near-memory computing capabilities, and, in this way, making the world a better place by enabling important innovations in, for example, healthcare, energy consumption, traffic congestion and safety.

NeMeCo involves a three-partner network comprising the Eindhoven University of Technology in the Netherlands, IBM Research - Zurich, and the Netherlands Institute for Radio Astronomy, ASTRON. These partners provide a unique combination of academic and industrial expertise of Big-data applications, compilers, memory and processor technology, and high-performance computer architecture. NeMeCo offers early stage researchers (ESRs) an excellent multidisciplinary training program at the cross roads of hardware and software design, where complex trade-offs have to be made between performance, programmability and energy efficiency. A board of 8 experienced supervisors will work together across disciplines and sectors to train and mentor the ESRs who will have access to superb research facilities at all locations. A total of three individual PhD projects are available

These three projects complement each other to cover the wide spectrum of aspects related to the following research objectives that build upon each other:

  1. Analysis of Big data workloads, their key algorithms, their complexity in terms of memory, compute and I/O operations, their data locality, their parallelization potential, their mappings to various platforms, possible algorithmic optimizations, etc. The purpose is to obtain a detailed understanding of their characteristics, and their static and dynamic processing requirements (ESR1+2+3).
  2. Modelling of selected Big data workloads, modelling of conventional computer architectures and of potential novel architectures based on near-memory computing, and modelling of the mapping of the workloads on those architectures. Objective is to enable a huge design space exploration, but still with sufficient detail based on accurate predictions of power consumption and performance (ESR1+2+3).
  3. Development of techniques for partitioning, mapping, and compiling Big data workloads on a hybrid HPC system combining conventional processing elements with near-memory computing capabilities (ESR2). Development of techniques for run-time optimization of the performance and power consumption (ESR1). Development of a system-level and accelerator level architecture for a near-memory computing device integrated into a hybrid HPC system (ESR3).
  4. Realization of a near-memory computing tool set and ecosystem including compiler, debugger, performance analysis, and run-time optimization tools (ESR1+2), and a near-memory computing device implementation in a hardware description language (ESR3).
  5. Translation of the expertise, models, tools and architecture, into a small-scale demonstrator of a computing system supporting near-memory computing (ESR1+2+3). This demonstrator will be integrated into an emerging ecosystem for HPC technologies, which increases the commercial relevance of the developed near-memory computing tool set and architecture while, at the same time, allowing evaluation of its application to a wide range of real-world problems. The latter is a key element of the proposed cutting-edge research program and will be instrumental for realizing break-through innovations.

The training is structured individually for each ESR based on a personal career development plan which covers scientific, personal and transferable skills. The ESRs will be employed for an initial period of three years by the Eindhoven University of Technology in the Netherlands, which will also award the PhD degrees. If successful, the employment will be extended by a fourth year. Each ESR will do secondments at IBM Research GmbH in Switzerland (for about 20 months) and at ASTRON in the Netherlands (for about 4 months).

As part of the NeMeCo project, the three ESRs will have access to an exceptionally wide range of state-of-the-art server and supercomputing technologies, including an on-site BlueGene BG/Q system, a collection of OpenPOWER hardware, various commercial GPUs, FPGAs, and DSPs, as well as technologies that are not on the market yet, such as the world’s first hot water cooled 64-bit microserver and an accelerator platform that is based on the direct attachment of FPGAs to the memory interconnect of a commercial server processor.

In addition, the DOME project, in which ASTRON and IBM jointly perform fundamental research on large-scale green Exascale computing for the Square Kilometre Array (SKA) radio telescope, offers the ESRs a unique opportunity to get experience with an “extremely Big”-data application, involving the processing of Exabytes of astronomical data collected by hundreds of thousands of antennas and dishes for exploring the universe. The SKA will become the biggest radio telescope on earth requiring enormous compute power when it becomes operational in the next decade.


More information on the job requirements, conditions of employment, and how to apply

Download PDF of this job description
 

Post-Doc researcher: Engineered spin states in semiconductor quantum structures

Ref. 2016-15


Duration: 18 months

Project description

A postdoctoral research position is available at IBM Research – Zurich in the Physics of Nanoscale Systems group on the development and characterization of long-lived spin states in III-V quantum structures. The project will be carried out in the framework of the Swiss NCCR QSIT – Quantum Science and Technology. The position is available from September 2016, earlier starting dates are possible.

Using optical and transport techniques, we explore spin coherence and spin manipulation in semiconductor quantum structures for applications in spintronics and quantum computing. Time-resolved optical pump-probe measurements serve as a powerful tool to study the interaction of electron spins with its surrounding and to track correlations between momentum and spin.

We are looking for a Post-Doc who investigates engineered spin states in narrow-gap semiconductor quantum wells and quantum wires made of InGaAs, GaSb or InAs/GaSb double-well structures.


Requirements

The candidate needs to have a PhD in physics and should be experienced in device fabrication (optical and e-beam lithography), as well as in optical or transport measurement techniques in a cryogenic environment. We are looking for a highly motivated and independent person with exceptional communication skills, as well as with a good theoretical understanding of semiconductor physics, quantum mechanics, and spin physics. We offer an outstanding infrastructure and a team with a broad expertise.


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 your application to

Gian Salis
gsa@zurich.ibm.com

 

Post-Doc researcher: Control systems

Ref. 2016-14


Project description

We are seeking an outstanding post-doctoral researcher for research in state-of-the-art control systems applied to magnetic tape storage systems.

Our research aims at developing technologies that enable the continued scaling of IBM’s magnetic tape data storage products to keep up with the explosive growth of digital data.


Requirements

The candidate should have a strong background in electrical or mechanical engineering with a specialization in control engineering and have excellent skills working “hands-on” in the laboratory. 

Familiarity in one or more of the following areas will be useful: H-infinity and state space control, system modeling, electronics, mechatronics, as well as knowledge of Matlab, VHDL, C and/or DSP programming languages. 

The candidate will work as part of an interdisciplinary team and should have excellent written and oral communication skills.

Applicants are expected to hold a PhD in Engineering and have a good track record of research. The candidate should be creative and able to meet deadlines.This position is available starting in the summer of 2016 for a duration of 18 months. 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

If the above position fits your background and if you are interested in this challenging position, please send your complete curriculum vitae, including a list of publications, and the names of three references to

Judith Blanc
Human Resources
IBM Research - Zurich
E-mail: jko@zurich.ibm.com

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. 

Post-Doc researcher: Quantum information science with superconducting quantum devices

Ref. 2016-05


About the position

Quantum techWithin the Swiss National Science Foundation (SNSF)-funded project ‘Exploring Geometric Effects and Geometric Gates with Superconducting Circuits’ we are looking for a talented, skilled and highly motivated candidate interested in quantum information science with superconducting quantum devices. The position entails the experimental investigation of two-qubit interactions, in particular those exploiting geometric effects, with superconducting qubits embedded in a planar or three-dimensional circuit quantum electrodynamics (QED) architecture with the goal to realize purely geometric quantum algorithms and investigate the use of geometric phases in quantum simulations.

This project is part of the quantum technology initiative at IBM Research – Zurich, Switzerland aiming towards the realization of a large-scale quantum information processor, and is carried out in collaboration with the Quantum Device Lab headed by Prof. Andreas Wallraff conducting a wide range of activities in the field of quantum optics and information processing with superconducting circuits.

This position is available immediately for a duration of initially 18 months. The successful candidate will enjoy an internationally competitive salary and work within a growing research team focused on quantum information processing.


Requirements

The candidate must have a PhD in quantum physics, ideally with a solid background in quantum information processing and a particular focus on superconducting circuits. The successful candidate is curious to learn new experimental techniques and is eager to expand his or her current expertise in microwave engineering, signal processing, nano- and micro-fabrication, low-temperature physics, control and measurement automation or data analysis (Mathematica, Matlab, 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

To apply for the position, please send your CV, a publication list, a statement of research interests including a short description of your background, motivation and skills (max. 2 pages), and the names of three references to

Stefan Filipp
IBM Research – Zurich

Please also arrange for one letter of reference to be sent directly by email to the above address. Consideration of applications will begin immediately and will continue until the position is filled.

Post-Doc researcher: Developer of computational methods to support personalized medicine in cancer

Ref. 2015-18


Project description

A postdoctoral research position is available at IBM – Zurich Research Laboratory to develop computational methods to support personalized medicine in cancer. This highly interdisciplinary project involving the collaboration of several institutions across Europe and USA will focus on prostate cancer, a leading cause of cancer death amongst men, but also prone to over-treatment.

Maria Rodrigues Martinez on working in SwitzerlandThe project aims to develop computational models that can exploit molecular and clinical data in order to improve our understanding of cancer disease mechanisms and predict optimized strategies for therapeutic intervention. The models will be based on the exploitation of genomic, transcriptomic, proteomic, and clinical data in primary and metastatic tumors, prospective cohorts of well characterized prostate cancer patients, drug screenings in cell lines, and the use of the Watson technology, a last-generation cognitive computer developed at IBM.

The successful candidate will analyze molecular data in order to characterize tumor heterogeneity, and will develop methodologies to integrate disparate types of data into models that can help risk-stratify patients.


Requirements

Candidates should have a strong background in computer science, mathematics or physics and be interested in cancer-related research. Strong programming skills are necessary. Experience in machine learning, Big Data analysis, and high-performance computing is a plus.


About the group

The group of systems biology at IBM aims to develop new mathematical and computational approaches for the analysis and exploitation of the latest generation of biomedical data. In the context of cancer, the group focuses on the integration of high-throughput molecular datasets to build comprehensive molecular disease models; the development of new approaches to reconstruct signalling protein networks from single-cell time-series proteomic data; and the application of Bayesian approaches and high-performance computing to the problem of network reconstruction.


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:

Systems biology

Maria Rodrigues Martinez on working in SwitzerlandWe support motivated candidates who are willing to apply for competitive personal fellowships. Interested candidates please contact .


Didn't find a suitable position?

We are always interested in motivated candidates who wish to work on scientific research projects. Check our web pages and identify the area of research most appealing to you. Compile your application pointing out your strengths in this area and send it to jobs@zurich.ibm.com. Please note that we do not accept applications for internships.


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