Workstation- / PC-SupporterIn (50 – 70%)

Ref. 2017-10


Interessiert Sie eine Aufgabe im Kreis von Wissenschaftlern in einer modernen Hard- und Software-Umgebung?

Die Abteilung Informatik des IBM Forschungslabors in Rüschlikon ist ein integraler Bestandteil des Forschungsbetriebs und unterstützt sowohl den technisch-wissenschaftlichen als auch den administrativen Bereich.

Zur Erweiterung unseres Teams, welches für die Installation, Konfiguration und den Unterhalt von PC’s und Workstations sowie LAN-Druckern und -Komponenten (Hardware/Software inkl. Betriebssystem) verantwortlich ist, suchen wir eine Verstärkung als

Workstation- / PC-SupporterIn (50 – 70%)
(Arbeitszeit in Absprache mit dem Team)

Ihr Aufgabenbereich beinhaltet sowohl Level 1 (Aufnehmen und Bearbeiten von Problemen am Helpdesk) als auch Level 2 (vor Ort Anwenderunterstützung) Support in allen oben genannten Bereichen. Darüber hinaus nehmen Sie auch administrative Tätigkeiten im Support-Bereich, kleinere Hardware-Reparaturen sowie die Koordination mit den Service-Technikern wahr.

Ideale Voraussetzungen neben Einsatzfreude, einer Leidenschaft für IT sowie Erfahrung in einer Support-Umgebung sind Kundenorientiertheit, Servicedenken, die Fähigkeit zur offenen Kommunikation und zur Zusammenarbeit im Team sowie gute mündliche Deutsch- und Englisch-Kenntnisse. Darüber hinaus sollten Sie über fundierte Kenntnisse in PC Hard- und Software, besonders in MS Windows und MacOS, sowie über allgemeine Kenntnisse in TCP/IP verfügen. Kenntnisse in Lotus Notes und Hardware-Wartung sind von Vorteil.

Wir freuen uns, wenn Sie sich Ihrerseits von dieser herausfordernden Aufgabe in einem dynamischen Team, einem Arbeitsplatz in modernster Informatikumgebung und anregender wissenschaftlich-technischer Atmosphäre angesprochen fühlen.

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.

Wir freuen uns auf Ihre vollständigen Bewerbungsunterlagen per e-Mail an: hrser@zurich.ibm.com.

Wir berücksichtigen ausschliesslich direkte Bewerbungen. Bewerbungen über Stellenvermittler werden nicht berücksichtigt.

IBM Research – Zurich
Csilla Bohnhoff
Säumerstrasse 4
8803 Rüschlikon

Pre-Doc researcher: Brain-inspired computing hardware circuits

Ref. 2017–08


About the position

We are looking for a highly-motivated PhD student for our activities in brain-inspired computing. We aim to advance the understanding of integrated spiking oscillators with the goal of developing technologies for future neuromorphic hardware technologies. Activities comprise designing, simulating and fabricating nanoscale devices, exploring their physical switching mechanisms and materials science aspects, as well as performing electrical, thermal and structural characterization experiments. Furthermore, we will implement and simulate machine learning circuits for task such as image recognition.

The successful candidate will have access to a state-of-the-art exploratory research facility for the fabrication and characterization of nanoelectronic devices at high precision including a fully equipped clean room.

This position is available starting immediately for a duration of three years in a collaborative and creative group in a lively research environment.


Requirements

Applicants are expected to hold a Master’s degree in electrical engineering, physics or a related field. The ideal candidate is very talented, creative, highly motivated and has excellent communications 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 the above position fits your background and if you are interested in this challenging position, please send your complete curriculum vitae, including a transcript, and the names of three references to

Dr. Siegfried Karg
IBM Research – Zurich
Säumerstrasse 4
8803 Rüschlikon, Switzerland
E-mail: sfk@zurich.ibm.com
Application per e-mail is preferred.

Software engineer/Post-Doc researcher: Distributed systems and blockchain

Ref. 2017–07


About the position

We are turning some of the most complex distributed systems designs and algorithms into real systems. We are also researching and inventing new scalable, fault-tolerant and secure distributed systems with the goal of changing the world of financial and digital transactions in general. We are researching, designing and building blockchains.

We are looking for highly motivated and enthusiastic software engineers to join the Industry Platforms and Blockchain group of the Cloud & Computing Infrastructure department at IBM Research – Zurich. In this role, you will be expected to contribute to the architecture definition and implementation in our blockchain projects, notably their aspects pertaining to distributed and fault-tolerant systems such as consensus and state-machine replication, concurrency control and distributed databases. 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 Industry Platforms and Blockchain group consists of scientists and researchers with deep expertise and knowledge in these areas, who work together with our software engineers to deliver world-class results. Given that such results are expected to power hundreds or thousands of production blockchain deployments, software quality, modularity, maintainability, scalability and resilience are of paramount importance in the development process.


Requirements

Candidates applying for this position should fulfill the following requirements:

  • 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/experience in one or more of the following protocols or systems: Paxos, Raft, ZooKeeper, Consul
  • Proficient in at least two of the following programming languages: Golang, C, C++, Java
  • Experience with standard engineering and coding practices
  • “Get-it-done” pragmatic attitude
  • Capable of participating actively in brainstorming sessions in multi-disciplinary teams. Able to propose, defend, and criticize ideas
  • Ability to conduct independent work, to work in a team, and to assume responsibility
  • Capable of and eager to learn independently about the subject area(s) of the project(s) and underlying distributed systems technologies
  • Very good verbal English communication skills

In addition, the following skills are desired, but not necessarily required:

  • PhD in distributed systems/distributed databases
  • Security and networking knowledge
  • Deep understanding of designing protocols or systems such as Paxos, Raft, ZooKeeper, Consul, PBFT
  • 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

Candidates with a PhD degree and a good research publication record in the fields of distributed systems or distributed databases and who are willing to implement real systems are strongly encouraged to apply. Such candidates can be considered for a post-doc position. This position is available for a duration of 24 months with the possibility of an extension.

If the above position fits your background and 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
jko@zurich.ibm.com

Master’s thesis and internship opportunity:
Identifying mechanisms of action in association studies

Ref. 2017-04


Project description

Genome-wide association studies (GWAS) have emerged as a powerful tool for identifying genetic variants associated with complex phenotypes and disease. Despite the many newly discovered associations, the variants identified by these studies typically explain only a small fraction of the heritable component of disease risk. Furthermore, few genetic variants are found within coding regions of genes, and the elucidation of the molecular mechanism by which these loci influence the phenotype remains challenging.

GWAS

The Systems Biology group at IBM Research – Zurich has developed a new computational approach to elucidate the molecular mechanisms behind the association of genetic variants to breast cancer susceptibility. Specifically, the algorithm tests whether a genetic variant (e.g. a SNP) modulates the activity of a transcription factor by perturbing its interaction with specific targets.

The proposed internship will focus on its application to two independent breast cancer genomic and transcriptomic datasets and the analysis of results in a disease context. Furthermore, it is known that SNP variation explains only a fraction of heritable disease risks, a phenomenon known as “missing heritability”. Recent studies have proposed that DNA short tandem repeats (STRs) make up a significant amount of the missing variants. Therefore, ideally, the internship project will be extended to explore cancer associations with variation in short tandem repeats (STRs). We hypothesize that increased rates of STR-induced mutations in protein-coding sequences give rise to novel antigens, leading to an increased immune response in tumors with STR instabilities (known as MSI phenotype). Based on previous work on STRs (by M. Anisimova, ZHAW, and T. Bilgin, UZH), the project will aim to investigate the mechanisms responsible for the increased response to immunotherapy, while also identifying novel antigen targets.


Requirements

Candidates applying for this position should fulfill the following requirements:

  • Working knowledge of C or C++.
  • Working knowledge of Matlab, R or equivalent.
  • Comfortable knowledge of statistics and mathematical modeling.
  • In addition, some knowledge of molecular biology, genetic and systems biology, as well as high-throughput technologies for the molecular characterization of cancer samples would be beneficial, although it is 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, contact: Dr. María Rodríguez Martínez.

Master’s project: Photonics

Ref. 2017-02


Project description

PhotonicsWe are seeking a highly motived candidate for a Master’s project in the Quantum Technologies group at IBM Research – Zurich for the development of III/V-on-silicon photonic devices with potential applications in communications technology, sensing, and quantum computing. The goal is to fabricate integrated compact III-V optical cavities on silicon substrates where the piezoelectric behavior of the III-V material can be exploited for optomechanical coupling.

This highly interdisciplinary Master’s project will involve the development of a fabrication process for photonic crystal devices made of gallium phosphide and will be carried out in the cleanroom of the Binnig and Rohrer Nanotechnology Center (BRNC). The BRNC is located at the renowned IBM laboratory in Rüschlikon, Switzerland, which provides a collaborative research environment comprising regular research staff as well as other Master’s and Ph.D. students.


Requirements

  • Interest in cleanroom work and process development. Previous experience with process technology would be advantageous
  • Current enrollment in a Master’s program in physics, electrical engineering, or micro- and nanosystems with permission to begin the Master’s thesis
  • A superior academic record
  • Good communication skills

Duration

The duration of the Master’s project will be determined in accordance with the regulations of the candidate’s university.


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, and transcripts to
Dr. Paul Seidler, preferably before March 1, 2017.

Post-Doc researcher: Control systems

Ref. 2017-01


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.

Tape storage

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 spring of 2017 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:

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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