Post-Doc researcher: III–V MOCVD growth and photonics

Ref. 2017-18


The MIND (Materials Integration and Nanoscale Devices) group at IBM Research – Zurich is offering an opportunity for a highly motivated post-doc to work on the metal-organic vapor phase epitaxy MOCVD growth of different III–V materials on Si, combined with the structural, electrical and optical characterization of III–V semiconductor photonic devices. The project will be carried out in the framework of a FETOPEN project under H2020.

III-V MOCVD growth and photonicsThe research comprises the epitaxial growth as well as the detailed characterization of the structure and the optical and electrical properties of nanoscale photonic devices, ranging from photovoltaics to lasers. The work involves nanofabrication using our state-of-the-art cleanroom facility along with the selective growth of nanostructures [1,2] using (MOCVD) and development of different doping strategies. The crystalline and optical quality of the material will be investigated using, e.g., scanning electron microscopy, X-ray diffraction and optical spectroscopy. Additionally, electrical transport measurements of pn-junctions and heterostructures for photovoltaics will be done, along with various optical characterizations.

[1] M. Borg et al., Nano Lett. 14, 1914 (2014).
[2] H. Schmid et al., Appl. Phys. Lett., 106, 233101 (2015).


Requirements

The candidate is expected to hold a Ph.D. degree in physics, materials science, electrical engineering or similar with solid academic and publication record and should possess a high degree of motivation and creativity combined with good communication skills in English (spoken and written). Hands-on experience with III–V growth as well as knowledge of optical characterization techniques is mandatory.


Diversity

IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable both women and men to strike the desired balance between their professional development and their personal lives.


How to apply

Interested applicants should submit their curriculum vitae including references to:

Pre-Doc researcher: Near-Memory Computing – Compiler optimizations and framework

Pre-Doc researcher: Near-Memory Computing – Applications

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

Ref. 2017-15


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

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

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

Starting date: 01/01/18.


Requirements

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

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

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

Diversity

IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable both women and men to strike the desired balance between their professional development and their personal lives.


How to apply

Interested candidates, please send an application including CV and reference letters to:
Dr. Maria Rodriguez Martinez.

Post-Doc researcher: Biomedical technologies for tumor profiling

Ref. 2017-14


About the position

A post-doctoral position is available for our activities on biomedical technologies at the IBM Research – Zurich Laboratory. These activities aim at applying IBM’s expertise in microtechnology and microfluidics towards the development of next generation bioanalytical tools in the context of personalized tumor profiling. This multidisciplinary research is problem-oriented and is pursued in collaboration with a world-leading partner on tumor profiling. In this position, research will focus on applying IBM’s microfluidic probe (MFP) technology to profiling tumors locally. MFP is a non-contact, scanning microfluidic device that can pattern surfaces with proteins in an additive and subtractive manner, form gradients of proteins on surfaces and interacts with cells and tissue sections. Part of this work is within the framework of BioProbe, a European Union project.

This position is available from approximately September 2017 for a duration of 18 months. The successful candidate will enjoy an internationally competitive salary and work within a collaborative and creative group in an exclusive research environment for a specific application.

The candidate will have the primary responsibility to advance methods and technologies for molecular profiling of tumor (biopsy) samples using the microfluidic probe with group members and an experienced external partner.


Requirements

  • The ideal candidate will have experience in cell/tissue-based assays, immunoassays, immunohistochemistry, molecular biology assays (including sequencing), optical microscopy and analytical techniques (e.g. PCR, Electrophoresis).
  • A strong background on tumor profiling and biology will be highly beneficial.
  • The candidate must have some experience in microfluidics, small volume fluid handling/manipulation.
  • The candidate must be keen on driving an experimental program coupled, if possible, with analytical/numerical analysis.
  • Systems design, Matlab/LabView interface programming and troubleshooting skills will additionally be beneficial.
  • The candidate must be self-driven, highly motivated and is required to multitask efficiently.

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 welcome to send a single PDF file that includes a CV (a list of publications, and list of skills) and contact information for three references to:


IBM Research – Zurich
Säumerstrasse 4
CH-8803 Rüschlikon
Switzerland

Further information

Application per e-mail is preferred.

Post-Doc researcher: Neuromorphic Technologies and Systems

Ref. 2017-12


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

At IBM Research – Zurich we are establishing novel hardware technologies for neural networks, building on existing integrated electrical and optical platforms. Neural-network simulations and system-level experiments complement the hardware-related activities and demonstrate the impact of the new technology platforms. This work is embedded in the Horizon2020 projects NeuRAM3, PHRESCO and ULPEC.

In the Neuromorphic Devices and Systems group, an opening is available for a Post-Doctoral research fellow. The main responsibility is to establish system-level demonstrations of the neural network technologies, showing the capability of the neural network and the underlying technology. Tasks to be performed are:

  • Design and characterization of electrical and optical building blocks
  • Neural network simulations, taking the properties of the characterized devices into account
  • Build neural network systems combining the dedicated hardware devices with software or FPGA based networks to obtain full functionality.
  • Evaluation of newly developed hardware networks with common cognitive benchmarks

The Post-Doc position has a duration of 18 months.


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 strong background and interest in neural network based systems, simulation of neural networks, deep neural networks, reservoir computing and/or FPGA systems are encouraged to send their CV including publication list and references to

For more information, please contact Dr. Bert Jan Offrein at the address indicated below. Applications should be sent by email, preferably before July 1, 2017.

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

Pre-Doc researcher: Neuromorphic Technologies and Systems

Ref. 2017-11


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

At IBM Research – Zurich we are establishing novel hardware technologies for neural networks, building on existing integrated electrical and optical platforms. Neural-network simulations and system-level experiments complement the hardware-related activities and demonstrate the impact of the new technology platforms. This work is embedded in the Horizon2020 projects NeuRAM3, PHRESCO and ULPEC.

In the Neuromorphic Devices and Systems group, an opening is available for a PhD student. The main responsibility is to establish and characterize novel neural network technologies and devices. Tasks to be performed are:

  • Design of electrical and optical devices for neural networks
  • Wafer-level processing
  • Characterization of electrical and optical building blocks
  • Embed the dedicated hardware devices into a neural network systems to demonstrate its functionalities
  • Execute small-scale cognitive algorithms on the newly developed systems for benchmarking them

The PhD student position has a duration of 36 months.


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 strong background and interest in cleanroom technology, device characterization, programming, and neural network based systems are encouraged to send their CV including publication list and references.

For more information, please contact Dr. Bert Jan Offrein at the address indicated below. Applications should be sent by email, preferably before July 1, 2017.

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

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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